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Visual Information Assist System Using 3D SOKUIKI Sensor for Blind People, System Concept and Object Detecting Experiments
2006
Industrial Electronics Society (IECON ), Annual Conference of IEEE
A person is equipped with a 3D scanner and a small sized PC while walking. The scanner scans and acquires 3D range data map of the environment. ...
Secondly the method for acquisition of 3D range data and detecting objects and obstacles are described. ...
When the range data scanned in α seconds are enough to construct 3D range data map, the latest range data scanned in α second are used to construct the map after every scan finishes (Fig.5) . ...
doi:10.1109/iecon.2006.347767
fatcat:6xrl35fc45ey7gjvhjhiurz4we
Surface detail capturing for realistic facial animation
2004
Journal of Computer Science and Technology
data can be widely applied to different 2D face images and 3D face models. ...
Based on this idea, we can convert the ratio images into a sequence of normal maps and then apply them to animated 3D model rendering. ...
However, since the scanned data may be registered from scan results of previous passes, a ray can intersect with more than one surface of scanned data. ...
doi:10.1007/bf02945587
fatcat:wm34cod735aujl77ebpt7tag3e
Mixed 2D/3D Perception for Autonomous Robots in Unstructured Environments
[chapter]
2011
Lecture Notes in Computer Science
We use the 2D LRF to perform particle filter based SLAM to generate a 2D occupancy grid, and the same LRF (moved by two servo motors) to acquire 3D scans to detect obstacles not visible in the 2D scans ...
The 3D data is analyzed with a recursive principal component analysis (PCA) based method, and the detected obstacles are recorded in a separate obstacle map. ...
Since only for the RoboCup dataset also a 2D map was generated, the mixed 2D/3D perception was tested with the RoboCup datasets only. ...
doi:10.1007/978-3-642-20217-9_26
fatcat:hbszvdqlmrdonbntukcpyu6joa
Real-time 3D mapping of rough terrain: A field report from Disaster City
2010
2010 IEEE Safety Security and Rescue Robotics
We tested our algorithms (for terrain classification and 3D mapping) with the dataset, and will make the data available to give other researchers the chance to do the same. ...
Therefore, there is a need for 3D test data that also contains disaster scenarios. ...
Also, we would like to thank Adam Jacoff from NIST for organizing the Response Robot Evaluation Exercise. ...
doi:10.1109/ssrr.2010.5981567
fatcat:i3qvsmorzzdlbngerfcrijyeqm
Surface Registration Markers from Range Scan Data
[chapter]
2006
Lecture Notes in Computer Science
We introduce a data processing pipeline designed to generate registration markers from range scan data. This approach uses curvature maps and histogram-templates to identify local surface features. ...
The noise associated with real-world scans is addressed using a (common) Gauss filter and expansion-segmentation. Experimental results are presented for data from The Digital Michelangelo Project. ...
Acknowledgements: The first author acknowledges the financial support from The Department of Electrical and Computer Engineering at Manukau Institute of Technology. ...
doi:10.1007/11774938_34
fatcat:revwlqg3ljb47jslxrgcdrzcya
Mapping the 3D Structure of Corrugated "Cardboard" M0S2
2018
Microscopy and Microanalysis
TEM tomography provides a simple start and a general idea of the 3D structure of the material (Fig. 1a) . ...
Building 3D structures from 2D materials through folding opens new possibilities in nanodevice fabrication [1] . ...
Figure 2 . 2 Mapping the location of the six primary diffraction spots from the diffraction patterns as shown in Fig. 1d-f generates projected lattice constant and rotation maps. a) Map of the projected ...
doi:10.1017/s1431927618008401
fatcat:37npremxdfebreiuq2s7fx5hdu
A Scale Invariant Surface Curvature Estimator
[chapter]
2006
Lecture Notes in Computer Science
Experiments and results applying similarity curvature to synthetic data are also presented. ...
Acknowledgements: The first author acknowledges financial support from the Department of Electrical and Computer Engineering at Manukau Institute of Technology. ...
and extract 3D shapes from within complex 3D scan scenes. ...
doi:10.1007/11949534_14
fatcat:xhm23ipq4vexxg7mdobex547me
Surface Reconstruction of Ancient Water Storage Systems - An Approach for Sparse 3D Sonar Scans and Fused Stereo Images
english
2014
Proceedings of the 9th International Conference on Computer Graphics Theory and Applications
english
As a preprocess to the reconstruction pipeline, a 3D evidence grid is created by mosaicing horizontal and vertical sonar scans. ...
This work presents a process pipeline that addresses the problem of reconstructing surfaces of underwater structures from stereo images and sonar scans collected with a micro-ROV on the islands of Malta ...
An archway (a) and a bump (b), which were omitted from the sonar model, were captured with stereo cameras within the cistern and converted to disparity maps. ...
doi:10.5220/0004694901610168
dblp:conf/grapp/NelsonDFGCW14
fatcat:wyyybchb75ex7l3yhhrebscsqi
Photorealistic 3D Digital Reconstruction of a Clay Pitcher
2019
Advances in Science and Technology Research Journal
The availability of 3D scanning devices allows performing the process of digitisation of a growing number of diverse museum artefacts. ...
With regard to the objects from archaeological excavations, the vast majority are the artefacts that are more or less damaged or only partially preserved. ...
The original texture from the 3D scanning after import to the .obj format contains a bitmap map of the images taken by the 3D scanner. ...
doi:10.12913/22998624/113276
fatcat:yawx6enperf7rfeq4u5uhas3y4
Efficiently combining positions and normals for precise 3D geometry
2005
ACM SIGGRAPH 2005 Papers on - SIGGRAPH '05
) or orientations (normal maps or bump maps). ...
(a) Rendering of 3D scanned range image, (b) same scanned geometry, augmented with a measured normal-map (from photometric stereo), (c) our hybrid surface reconstruction, which combines both position and ...
The coin normal maps were acquired by Lucas Pereira for Stanford's CS348B, Spring 1996. ...
doi:10.1145/1186822.1073226
fatcat:qlzmi6ukgjdlxibv6ggkhvgukq
Efficiently combining positions and normals for precise 3D geometry
2005
ACM Transactions on Graphics
) or orientations (normal maps or bump maps). ...
(a) Rendering of 3D scanned range image, (b) same scanned geometry, augmented with a measured normal-map (from photometric stereo), (c) our hybrid surface reconstruction, which combines both position and ...
The coin normal maps were acquired by Lucas Pereira for Stanford's CS348B, Spring 1996. ...
doi:10.1145/1073204.1073226
fatcat:ric54tnxmfg7dhxnybkorpge6e
Real-Time Per-pixel Rendering of Bump-mapped Textures Captured using Photometric Stereo
[article]
2003
International Conference on Vision, Video and Graphics
Photometric stereo is a simple method that allows both the bump map and the albedo map of a surface texture to be captured digitally. ...
We have developed software that takes advantage of the advanced rendering features of consumer graphics accelerators to produce bump mapped models in real-time. ...
In Section 2 the photometric stereo method which is used to capture the data required to generate the bump map and albedo map is described. ...
doi:10.2312/vvg.20031011
dblp:conf/vvg/RobbSCT03
fatcat:uvrje5jacfchtezk52pizt6ary
Augmented Blendshapes for Real-Time Simultaneous 3D Head Modeling and Facial Motion Capture
2016
2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
Real-time simultaneous 3D head modeling and facial motion capture using an RGB-D camera. ...
The 3D model of the head of a moving person refines over time (left to right) while the facial motion is being captured. ...
We use a Bump image [24] mapped over blendshapes because it is light in memory yet produces accurate 3D models. ...
doi:10.1109/cvpr.2016.359
dblp:conf/cvpr/ThomasT16
fatcat:rckiriiu6jewnc3mk5yedghxwq
Single ImageWatermark Retrieval from 3D Printed Surfaces via Convolutional Neural Networks
2018
Computer Graphics and Visual Computing
The method embeds the watermark in a planar region of the 3D printed object in the form of small semi-spherical or cubic bumps arranged at the nodes of a regular grid. ...
The watermark is extracted from a single image of the watermarked planar region through a Convolutional Neural Network. ...
It takes an RGB image as input and outputs a density map representing the probability of a pixel to be on a watermark bump. ...
doi:10.2312/cgvc.20181215
dblp:conf/tpcg/ZhangWI18
fatcat:5ajmrax24zhphmwpwke4zqglha
Dynamic Photometric Stereo
[chapter]
2005
Lecture Notes in Computer Science
Hence, it is not possible to obtain a full bump map and this limits its potential for full 3D-feature description. ...
Smith [1, 4] has shown how the concept of a surface 'bump map', a term borrowed from computer graphics, could be used to represent a photometrically captured detailed 3D surface texture. ...
doi:10.1007/11553595_101
fatcat:qk4y7scl2ffopmbci7eoq5hyte
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