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Adversarial Inverse Graphics Networks: Learning 2D-to-3D Lifting and Image-to-Image Translation from Unpaired Supervision [article]

Hsiao-Yu Fish Tung, Adam W. Harley, William Seto, Katerina Fragkiadaki
<span title="2017-09-02">2017</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
We argue that there are two important parts to learning without annotations: (i) matching the predictions to the input observations, and (ii) matching the predictions to known priors.  ...  and a collection of ground-truth factors.  ...  Given generated depth d for the first frame I 1 and known camera intrinsics -focal length f and principal point (c x , c y ) -we obtain the corresponding 3D point cloud for I 1 : X i 1 =   X i 1 Y i  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1705.11166v3">arXiv:1705.11166v3</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/xe4mr3ajqbd35c23xyiyxac3ym">fatcat:xe4mr3ajqbd35c23xyiyxac3ym</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20191023014023/https://arxiv.org/pdf/1705.11166v3.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/0b/e2/0be2b3ed42d02dc534cab964a92d724f036d702b.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1705.11166v3" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

The natural environment and birth outcomes: Comparting 3D exposure metrics derived from LiDAR to 2D metrics based on the normalized difference vegetation index

Geoffrey H. Donovan, Demetrios Gatziolis, Kristen Jakstis, Saskia Comess
<span title="2019-05-25">2019</span> <i title="Elsevier BV"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/mv5bv7hbwvb3hn4irvdknwsqj4" style="color: black;">Health and Place</a> </i> &nbsp;
Fig. 3 shows an example of a LiDAR-point cloud along with 2D representations of vegetation height derived from the LiDAR data at different spatial resolutions.  ...  Entropy is a unit-less metric derived from the raw LiDAR point cloud, which quantifies the variability in the position of the points within the cloud.  ...  Supplementary data Supplementary data to this article can be found online at https:// doi.org/10.1016/j.healthplace.2019.05.011.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.healthplace.2019.05.011">doi:10.1016/j.healthplace.2019.05.011</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/31132719">pmid:31132719</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/jhgse2wn5ba7nbqoowtptpf22a">fatcat:jhgse2wn5ba7nbqoowtptpf22a</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20190701224522/https://www.fs.fed.us/pnw/pubs/journals/pnw_2019_donovan002.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/c3/dc/c3dc8591ebf53bef2bce7a1a01912c453bfdf59d.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.healthplace.2019.05.011"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> elsevier.com </button> </a>

3D Sketch-Based 3D Model Retrieval

Bo Li, Yijuan Lu, Azeem Ghumman, Bradley Strylowski, Mario Gutierrez, Safiyah Sadiq, Scott Forster, Natacha Feola, Travis Bugerin
<span title="">2015</span> <i title="ACM Press"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/bj3ypeajjfeb7pqvvlh5snru4a" style="color: black;">Proceedings of the 5th ACM on International Conference on Multimedia Retrieval - ICMR &#39;15</a> </i> &nbsp;
How to draw 3D sketches in a three-dimensional space and how to use a hand-drawn 3D sketch to search similar 3D models are brand new and challenging research topics.  ...  Our system allows users to freely draw 3D sketches in the air as well as to find similar 3D models given human-drawn 3D sketches.  ...  Descriptive visual features need to be extracted from both 3D models and 3D sketches in order to perform effective and efficient sketch-model matching and retrieval.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/2671188.2749349">doi:10.1145/2671188.2749349</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/mir/0013LGSGSFFB15.html">dblp:conf/mir/0013LGSGSFFB15</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/22craztayjhzpodqwx5dw47bdu">fatcat:22craztayjhzpodqwx5dw47bdu</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170808220446/http://cs.txstate.edu/~yl12/publications/3D_Sketch_ICMR.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/e8/80/e8802189c13b28de7ec4ab2a78a3e89c9ad7a169.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/2671188.2749349"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> acm.org </button> </a>

Fast 3D Keypoints Detector and Descriptor for View-Based 3D Objects Recognition [chapter]

Ayet Shaiek, Fabien Moutarde
<span title="">2013</span> <i title="Springer Berlin Heidelberg"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/2w3awgokqne6te4nvlofavy5a4" style="color: black;">Lecture Notes in Computer Science</a> </i> &nbsp;
In this paper, we propose a new 3D object recognition method that employs a set of 3D keypoints extracted from point cloud representation of 3D views.  ...  The method makes use of the 2D organization of range data produced by 3D sensor.  ...  The field of 2D Point-of-interest (POI) feature has been the source of inspiration for the 3D interest-points detectors.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-3-642-40303-3_12">doi:10.1007/978-3-642-40303-3_12</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/o6yezfqoknhybj6qqtuv2yu42i">fatcat:o6yezfqoknhybj6qqtuv2yu42i</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20130514153433/http://hal-ensmp.archives-ouvertes.fr/docs/00/76/66/79/PDF/WDIA_last.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/fa/53/fa53b1ce8519c3051ee23ed44f90d506a699cd2d.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-3-642-40303-3_12"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> springer.com </button> </a>

Fast and Robust Multi-view 3D Object Recognition in Point Clouds

Guan Pang, Ulrich Neumann
<span title="">2015</span> <i title="IEEE"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/fnmyhnfycff7tiixnks6dqb6sy" style="color: black;">2015 International Conference on 3D Vision</a> </i> &nbsp;
We describe a new recognition approach that projects a 3D point cloud into several 2D depth images from multiple viewpoints, transforming the 3D recognition problem into a series of 2D detection problems  ...  Recognition of three dimensional (3D) objects in point clouds is a challenging problem.  ...  Acknowledgement This work is supported by Chevron U.S.A, Inc. under the joint project Center for Interactive Smart Oilfield Technologies (CiSoft), at the University of Southern California.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/3dv.2015.27">doi:10.1109/3dv.2015.27</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/3dim/PangN15.html">dblp:conf/3dim/PangN15</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/l5mu5wteubfe3io3juxicme4em">fatcat:l5mu5wteubfe3io3juxicme4em</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170808191154/http://graphics.usc.edu/cgit/publications/papers/3dv2015.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/d6/04/d6048efb686e54514ffa0914d41bc26b46acb1a1.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/3dv.2015.27"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a>

From Single 2D Depth Image to Gripper 6D Pose Estimation: A Fast and Robust Algorithm for Grabbing Objects in Cluttered Scenes

Amirhossein Jabalameli, Aman Behal
<span title="2019-07-30">2019</span> <i title="MDPI AG"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/r45lqjggovc6rpxxfw7fhwzs7e" style="color: black;">Robotics</a> </i> &nbsp;
A framework is proposed for grasping unknown objects by localizing contact regions on the contours formed by a set of depth edges generated from a single-view 2D depth image.  ...  Specifically, contact regions are determined based on edge geometric features derived from analysis of the depth map data.  ...  set-point extraction in the same way as image processing methods with the focus on small-size 2D image areas rather than clustering and analyzing huge sets of 3D point-cloud coordinates.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/robotics8030063">doi:10.3390/robotics8030063</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/sbg4a74dsvhuxbxo6aikropzgy">fatcat:sbg4a74dsvhuxbxo6aikropzgy</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200228144912/https://pdfs.semanticscholar.org/ff91/d944a3222a28dbfa9e037b148a055a2eba46.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/ff/91/ff91d944a3222a28dbfa9e037b148a055a2eba46.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/robotics8030063"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> mdpi.com </button> </a>

3D visual phrases for landmark recognition

Qiang Hao, Rui Cai, Zhiwei Li, Lei Zhang, Yanwei Pang, Feng Wu
<span title="">2012</span> <i title="IEEE"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/ilwxppn4d5hizekyd3ndvy2mii" style="color: black;">2012 IEEE Conference on Computer Vision and Pattern Recognition</a> </i> &nbsp;
In contrast to existing 2D visual phrases which are mainly based on co-occurrence statistics in 2D image planes, such 3D visual phrases explicitly characterize the spatial structure of a 3D object (landmark  ...  In this paper, we study the problem of landmark recognition and propose to leverage 3D visual phrases to improve the performance.  ...  According to [11] , for each landmark, a compact set of 3D points is selected from the 3D point cloud to cover each registered image at least K = 100 times; the P2F matching relies on SIFT ratio test  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/cvpr.2012.6248104">doi:10.1109/cvpr.2012.6248104</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/cvpr/HaoCLZPW12.html">dblp:conf/cvpr/HaoCLZPW12</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/opq6sufln5btdnkwb6kbfnvw6i">fatcat:opq6sufln5btdnkwb6kbfnvw6i</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20150909130149/http://research.microsoft.com/pubs/167612/3dvisualphrase_cvpr2012.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/a5/a9/a5a9db59fd76c1d68517e568297492f3dd116049.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/cvpr.2012.6248104"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a>

3D Face Recognition [chapter]

Naser Zaeri
<span title="2011-08-01">2011</span> <i title="InTech"> New Approaches to Characterization and Recognition of Faces </i> &nbsp;
Thus, they are not suitable for surveillance applications or control access points where only one "normal" 2D texture image (from any view) acquired from a single camera is available.  ...  Nonetheless, in spite of the various facial recognition systems which already exist, many of them have been unsuccessful in matching up to expectations. 2D facial recognition systems are constrained by  ...  (Rama & Tarrés, 2005) have presented Partial Principal Component Analysis (P 2 CA) for 3D face recognition.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5772/18696">doi:10.5772/18696</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/3uoguw3bo5gmlpor63xbid25vy">fatcat:3uoguw3bo5gmlpor63xbid25vy</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20180725152746/https://api.intechopen.com/chapter/pdf-download/17157" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/f1/79/f179471b091e468688274a77798effa4f8c7d5b8.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5772/18696"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

3D Shape Registration [chapter]

Umberto Castellani, Adrien Bartoli
<span title="">2012</span> <i title="Springer London"> 3D Imaging, Analysis and Applications </i> &nbsp;
Registration is the problem of bringing together two or more 3D shapes, either of the same object or of two different but similar objects.  ...  Current limitations of ICP are addressed and the most popular variants of ICP are described to improve the basic implementation in several ways.  ...  The goal in object recognition is to find, amongst a database of 3D models, which one best matches an input partial 3D view.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-1-4471-4063-4_6">doi:10.1007/978-1-4471-4063-4_6</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/xzu2upyznzgn5ob3q66wufifne">fatcat:xzu2upyznzgn5ob3q66wufifne</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20161027093128/http://isit.u-clermont1.fr/~ab/Publications/Castellani_Bartoli_3DIAA12.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/b5/7e/b57e5844311e30fa40ce458bb11d0318a762f23b.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-1-4471-4063-4_6"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> springer.com </button> </a>

Learning 3D Semantic Scene Graphs from 3D Indoor Reconstructions [article]

Johanna Wald, Helisa Dhamo, Nassir Navab, Federico Tombari
<span title="2020-04-08">2020</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
We show the application of our method in a domain-agnostic retrieval task, where graphs serve as an intermediate representation for 3D-3D and 2D-3D matching.  ...  In particular, we propose a learned method that regresses a scene graph from the point cloud of a scene. Our novel architecture is based on PointNet and Graph Convolutional Networks (GCN).  ...  Acknowledgment We would like to thank Mariia Gladkova, Alina Karimova and Premankur Banerjee for their help with the data preparation and annotations.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2004.03967v1">arXiv:2004.03967v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/ixnzxmqpbffbtlal4i3prwqjze">fatcat:ixnzxmqpbffbtlal4i3prwqjze</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200906010830/https://arxiv.org/pdf/2004.03967v1.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/c5/a0/c5a0f5021572a231885b096d16b7677f0468b9bb.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2004.03967v1" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

3D Face Recognition: A Survey [article]

Yaping Jing, Xuequan Lu, Shang Gao
<span title="2021-08-25">2021</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
The categorized techniques are evaluated using detailed descriptions of the representative works.  ...  In recent years, the research on face recognition has shifted to using 3D facial surfaces, as more discriminating features can be represented by the 3D geometric information.  ...  A passive acquisition system consists of several cameras placed separately from each other. It matches points observed from other cameras and calculates the exact 3D position of the matched point.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2108.11082v1">arXiv:2108.11082v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/drpuqdt6ore5dje4hiamsmi43i">fatcat:drpuqdt6ore5dje4hiamsmi43i</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210910220502/https://arxiv.org/pdf/2108.11082v1.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/a6/c2/a6c2575214c344c1756712c4e6484f322675f524.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2108.11082v1" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

Performance comparison of 3D correspondence grouping algorithm for 3D plant point clouds [article]

Shiva Azimi, Tapan K. Gandhi
<span title="2019-09-02">2019</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
Another contribution of this paper is the extension of 2D maximum likelihood matching to 3D Maximum Likelihood Estimation Sample Consensus (MLEASAC).  ...  We test these algorithms on 3D point clouds of plants along with two standard benchmarks addressing shape retrieval and point cloud registration scenarios.  ...  Similar to 3D RANSAC, given N mlesac iterations, in each iteration, five random components are sampled from the initial matching C.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1909.00866v1">arXiv:1909.00866v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/mpds76f3vvefxllh34d6ehz5ri">fatcat:mpds76f3vvefxllh34d6ehz5ri</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200915103049/https://arxiv.org/pdf/1909.00866v1.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/7c/bf/7cbfa23bbce37d1d01c54485b68487f434d990a4.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1909.00866v1" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

A Hierarchical Attention Fused Descriptor for 3D Point Matching

Wenjun Shi, Dongchen Zhu, Liang Du, Guanghui Zhang, Jiamao Li, Xiaolin Zhang
<span title="">2019</span> <i title="Institute of Electrical and Electronics Engineers (IEEE)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/q7qi7j4ckfac7ehf3mjbso4hne" style="color: black;">IEEE Access</a> </i> &nbsp;
Motivated by recent successes on learning 3D feature representations, we present a Siamese network to generate representative 3D descriptors for 3D point matching in point cloud registration.  ...  To train our model, we amass a large dataset for 3D point matching.  ...  DEEP LEARNING FOR 2D/3D MATCHING TASKS There are many researchers who attempt to leverage neural networks for matching tasks in the field of 2D images.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/access.2019.2921828">doi:10.1109/access.2019.2921828</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/74ubd2ir4reznh5onveahmpyku">fatcat:74ubd2ir4reznh5onveahmpyku</a> </span>
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EXTENSION OF RCC TOPOLOGICAL RELATIONS FOR 3D COMPLEX OBJECTS COMPONENTS EXTRACTED FROM 3D LIDAR POINT CLOUDS

Xu-Feng Xing, Mir Abolfazl Mostafavia, Chen Wang
<span title="2016-06-09">2016</span> <i title="Copernicus GmbH"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/i74shj7anreaxjo327fokng66m" style="color: black;">The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences</a> </i> &nbsp;
Topological relations are fundamental for qualitative description, querying and analysis of a 3D scene.  ...  The experiments show that the proposed approach helps to identify topological relations of planar segments of point cloud automatically.  ...  The authors would like to gratefully acknowledge dataset provider for the experimentations presented in this paper.  ... 
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EXTENSION OF RCC TOPOLOGICAL RELATIONS FOR 3D COMPLEX OBJECTS COMPONENTS EXTRACTED FROM 3D LIDAR POINT CLOUDS

Xu-Feng Xing, Mir Abolfazl Mostafavia, Chen Wang
<span title="2016-06-09">2016</span> <i title="Copernicus GmbH"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/i74shj7anreaxjo327fokng66m" style="color: black;">The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences</a> </i> &nbsp;
Topological relations are fundamental for qualitative description, querying and analysis of a 3D scene.  ...  The experiments show that the proposed approach helps to identify topological relations of planar segments of point cloud automatically.  ...  The authors would like to gratefully acknowledge dataset provider for the experimentations presented in this paper.  ... 
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