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Parallel similarity search based on the dimensions value cardinalities of image descriptor vectors

Dimitrios Rafailidis, Yannis Manolopoulos
2015 Proceedings of the 30th Annual ACM Symposium on Applied Computing - SAC '15  
In this paper, we propose a parallel similarity search strategy based on the dimensions value cardinalities, an inherit characteristic of image descriptor vectors.  ...  Additionally, an efficient parallel query processing algorithm is proposed, where the dimensions of image descriptors are prioritized in the searching strategy, assuming that dimensions of high value cardinalities  ...  SIMILARITY SEARCH BASED ON DVC The basic idea of similarity search based on Dimensions Value Cardinalities (DVC) according to [11] is: to reorder the storage positions of images' descriptors according  ... 
doi:10.1145/2695664.2695857 dblp:conf/sac/RafailidisM15 fatcat:atbqtuvmzbdybd4z54qsxen5ka

Use of PCL library to obtain the Transformation Matrix. State of the Art

Sergio Cebollada López
2017 Revista Doctorado UMH  
Two big methods are used to make the Registration, the first one is based in alignment between keypoints from the point clouds, the second one consists in iterative registration algorithms.  ...  One of the methods used for this purpose is through the point clouds obtained by 3D scanners. The Registration is used to know the movement of the robot into the map.  ...  ACKNOWLEDGEMENT This work has been supported by the Spanish government through the project DPI2013-41557-P.  ... 
doi:10.21134/doctumh.v2i1.1262 fatcat:47pc74uyavcxphxtowexmx2nzy

LEARNED COMPACT LOCAL FEATURE DESCRIPTOR FOR TLS-BASED GEODETIC MONITORING OF NATURAL OUTDOOR SCENES

Z. Gojcic, C. Zhou, A. Wieser
2018 ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences  
Herein we address one of the open challenges by proposing feature-based methods for identification of corresponding points in point clouds of two or more epochs.  ...  We show that the proposed descriptor has the capacity to generalize to unseen data and achieves state-of-the-art performance while being time efficient at the matching step due the low dimension.  ...  Geomonitoring using TLS point clouds Ohlmann-Lauber and Schäfer (2011) categorized deformation models for monitoring based on point clouds into five categories: point-based, point cloud-based, surface-based  ... 
doi:10.5194/isprs-annals-iv-2-113-2018 fatcat:nsah6kchlbhmzaeyezyj4yi22e

AUTOMATIC REGISTRATION OF TERRESTRIAL LASER SCANNER POINT CLOUDS USING NATURAL PLANAR SURFACES

P. W. Theiler, K. Schindler
2012 ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences  
based on the properties of a point's parent planes.  ...  Since exhaustive search over all possible assignments is intractable even for moderate numbers of points, the search is guided by matching individual pairs of tie points with the help of a novel descriptor  ...  To obtain meaningful similarities between descriptors, the right relative scaling between the descriptor dimensions is needed. We have experimentally determined suitable weights.  ... 
doi:10.5194/isprsannals-i-3-173-2012 fatcat:u3gz4ckhavgonevcg4hl7szuqu

PointSIFT: A SIFT-like Network Module for 3D Point Cloud Semantic Segmentation [article]

Mingyang Jiang, Yiran Wu, Tianqi Zhao, Zelin Zhao, Cewu Lu
2018 arXiv   pre-print
Extensive experiments show our PointSIFT-based framework outperforms state-of-the-art method on standard benchmark datasets. The code and trained model will be published accompanied by this paper.  ...  Recently, 3D understanding research sheds light on extracting features from point cloud directly, which requires effective shape pattern description of point clouds.  ...  Orientation-encoding Local descriptors in previous methods typically apply unordered operation (e.g., max pooling [24, 32] ) based on the observation that point cloud is unordered and unstructured.  ... 
arXiv:1807.00652v2 fatcat:5bu57wkz5ne4tkohdd65k2xviq

FREE SHAPE CONTEXT DESCRIPTORS OPTIMIZED WITH GENETIC ALGORITHM FOR THE DETECTION OF DEAD TREE TRUNKS IN ALS POINT CLOUDS

P. Polewski, W. Yao, M. Heurich, P. Krzystek, U. Stilla
2015 ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences  
We apply the proposed descriptor to the problem of detecting single standing dead tree trunks from ALS point clouds.  ...  Also, each part of the FSC has an associated activity state which controls whether the part can contribute a feature value.  ...  The double-blind peer-review was conducted on the basis of the full paper. Editors: S. Oude Elberink, A. Velizhev, R. Lindenbergh, S. Kaasalainen, and F.  ... 
doi:10.5194/isprsannals-ii-3-w5-41-2015 fatcat:ccsujkms4neo7iws4csia5ndrm

3D Saliency for Finding Landmark Buildings

Nikolay Kobyshev, Hayko Riemenschneider, Andras Bodis-Szomoru, Luc Van Gool
2016 2016 Fourth International Conference on 3D Vision (3DV)  
Experiments on city-scale point clouds show the viability and efficiency of our approach on various tasks.  ...  First, salient points are detected, based on the analysis of their features as well as those found in their spatial neighborhood.  ...  This work was supported by the European Research Council project VarCity (273940). We thank Michal Havlena, Wilfried Hartmann and Konrad Schindler for the Zurich aerial dataset.  ... 
doi:10.1109/3dv.2016.35 dblp:conf/3dim/KobyshevRBG16 fatcat:nfp3w4bj2faltieuiir44atwde

Learning Compact Geometric Features [article]

Marc Khoury, Qian-Yi Zhou, Vladlen Koltun
2017 arXiv   pre-print
The presented approach yields a family of features, parameterized by dimension, that are both more compact and more accurate than existing descriptors.  ...  We present an approach to learning features that represent the local geometry around a point in an unstructured point cloud.  ...  The value of the search radius is validated via controlled experiments reported in the supplement. The local reference frame at each point is computed using a search radius of 2% of the diameter.  ... 
arXiv:1709.05056v1 fatcat:b5ueq65gf5csni6fjddvk5oeum

3D SLAM in texture-less environments using rank order statistics

Khalid Yousif, Alireza Bab-Hadiashar, Reza Hoseinnezhad
2015 Robotica (Cambridge. Print)  
The aim of the proposed sampling technique is to informatively sample a point cloud into a subset of points based on their 3D information.  ...  The proposed method is based on a novel informative sampling scheme that extracts points carrying the most useful 3D information for registration.  ...  Acknowledgment The first author would like to acknowledge the financial support provided by the Australian Postgraduate Award (APA) scholarship.  ... 
doi:10.1017/s0263574715000831 fatcat:vyzscnnsmzhi3pbck4p7cfnqde

Multimodal detection and tracking of pedestrians in urban environments with explicit ground plane extraction

L. Spinello, R. Triebel, R. Siegwart
2008 2008 IEEE/RSJ International Conference on Intelligent Robots and Systems  
In this areas a novel vision based people detector based on Implicit Shape Model (ISM) is applied.  ...  The clusters define a region of interest in the image that is adjusted using the ground plane information extracted from the 3D laser.  ...  NN search only for dimensions not more than 20, because the number of neighboring cells inside a given hypersphere grows exponentially with the number of dimensions.  ... 
doi:10.1109/iros.2008.4651109 dblp:conf/iros/SpinelloTS08 fatcat:fqtinh4yrnfpjchgurc24xoj7m

Tutorial: Point Cloud Library: Three-Dimensional Object Recognition and 6 DOF Pose Estimation

Aitor Aldoma, Zoltan-Csaba Marton, Federico Tombari, Walter Wohlkinger, Christian Potthast, Bernhard Zeisl, Radu Rusu, Suat Gedikli, Markus Vincze
2012 IEEE robotics & automation magazine  
Acknowledgments The authors thank Kevin Lai for granting them access to the RGB-D object data set [27] and Florian Seidel for his help regarding the evaluation in the "Classification of Unknown Objects  ...  Special thanks to the PCL community (see http://pointclouds.org/about.html) as well as to the funding institutions of the authors of this article.  ...  Subsets whose consensus is too small are discarded, simply by thresholding based on their cardinality.  ... 
doi:10.1109/mra.2012.2206675 fatcat:urgafyqdxngo7a3f4e744qorva

Improved local shape feature stability through dense model tracking

Daniel R. Canelhas, Todor Stoyanov, Achim J. Lilienthal
2013 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems  
To make more general statements about the effect of noise removal in these applications, we extend a method for evaluating local image gradient feature descriptors to the domain of 3D shape descriptors  ...  The proposed approach fuses data into a consistent frame of reference over time, thus utilizing prior depth measurements and viewpoint information in the noise removal process.  ...  ACKNOWLEDGMENTS This work was partly funded by the 7th European Framework Project, RobLog -Cognitive Robot for Automation of Logistic Processes.  ... 
doi:10.1109/iros.2013.6696811 dblp:conf/iros/CanelhasSL13 fatcat:d7mtdttiqnh6xhn77jbiz7bftu

Scalar quantization for large scale image search

Wengang Zhou, Yijuan Lu, Houqiang Li, Qi Tian
2012 Proceedings of the 20th ACM international conference on Multimedia - MM '12  
The performance of scalar quantization has been evaluated in partial-duplicate Web image search on a database of one million images.  ...  Bag-of-Words (BoW) model based on SIFT has been widely used in large scale image retrieval applications.  ...  Li by NSFC general project "Intelligent Video Processing and Coding Based on Cloud Computing", and in part to Dr.  ... 
doi:10.1145/2393347.2393377 dblp:conf/mm/ZhouLLT12 fatcat:7ooq2xwp7rdq3hajjji4b5b4ye

An image-computable model of human visual shape similarity

Yaniv Morgenstern, Frieder Hartmann, Filipp Schmidt, Henning Tiedemann, Eugen Prokott, Guido Maiello, Roland W. Fleming, Ronald van den Berg
2021 PLoS Computational Biology  
To address this need, we developed a model ('ShapeComp'), based on over 100 shape features (e.g., area, compactness, Fourier descriptors).  ...  Yet, to date, no image-computable model can predict how visually similar or different shapes appear.  ...  Acknowledgments We thank Saskia Honnefeller, Jasmin Kleis, and Marcel Schepko for their help setting up the experiments and running initial pilot studies.  ... 
doi:10.1371/journal.pcbi.1008981 pmid:34061825 fatcat:ausuzxntrfajpfq5sojyydpwrm

Residual Enhanced Visual Vectors for on-device image matching

David Chen, Sam Tsai, Vijay Chandrasekhar, Gabriel Takacs, Huizhong Chen, Ramakrishna Vedantham, Radek Grzeszczuk, Bernd Girod
2011 2011 Conference Record of the Forty Fifth Asilomar Conference on Signals, Systems and Computers (ASILOMAR)  
The compactness of REVV consequently enables many database images to be queried on a mobile device.  ...  Most mobile visual search (MVS) systems query a large database stored on a server.  ...  Fig. 1(a) shows a possible architecture for MVS that relies on a database stored in the cloud.  ... 
doi:10.1109/acssc.2011.6190128 dblp:conf/acssc/ChenTCTCVGG11 fatcat:dbkyc7nzkrclhgxvqgyqlsq7ja
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