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Displaying 1-7 out of 7 total
Stereo time-of-flight
Found in: Computer Vision, IEEE International Conference on
By Victor Castaneda,Diana Mateus,Nassir Navab
Issue Date:November 2011
pp. 1684-1691
This paper describes a novel method to acquire depth images using a pair of ToF (Time of Flight) cameras. As opposed to approaches that filter, calibrate or do 3D reconstructions posterior to the image acquisition, we propose to combine the measurements of...
 
Articulated shape matching using Laplacian eigenfunctions and unsupervised point registration
Found in: Computer Vision and Pattern Recognition, IEEE Computer Society Conference on
By Diana Mateus, Radu Horaud, David Knossow, Fabio Cuzzolin, Edmond Boyer
Issue Date:June 2008
pp. 1-8
Matching articulated shapes represented by voxel-sets reduces to maximal sub-graph isomorphism when each set is described by a weighted graph. Spectral graph theory can be used to map these graphs onto lower dimensional spaces and match shapes by aligning ...
 
Articulated Shape Matching Using Locally Linear Embedding and Orthogonal Alignment
Found in: Computer Vision, IEEE International Conference on
By Diana Mateus, Fabio Cuzzolin, Radu Horaud, Edmond Boyer
Issue Date:October 2007
pp. 1-8
In this paper we propose a method for matching articulated shapes represented as large sets of 3D points by aligning the corresponding embedded clouds generated by locally linear embedding. In particular we show that the problem is equivalent to aligning t...
 
Articulated Shape Matching by Robust Alignment of Embedded Representations
Found in: Computer Vision, IEEE International Conference on
By Diana Mateus, Fabio Cuzzolin, Radu Horaud, Edmond Boyer
Issue Date:October 2007
pp. 1-8
In this paper we propose a general framework to solve the articulated shape matching problem, formulated as finding point-to-point correspondences between two shapes represented by 2-D or 3-D point clouds. The original point-sets are embedded in a spectral...
 
Spectral Methods for 3-D Motion Segmentation of Sparse Scene-Flow
Found in: Motion and Video Computing, IEEE Workshop on
By Diana Mateus, Radu Horaud
Issue Date:February 2007
pp. 14
The progress in the acquisition of 3-D data from multicamera set-ups has opened the way to a new way of loking at motion analysis. This paper proposes a solution to the motion segmentation in the context of sparse scene flow. In particular, our interest fo...
 
Multi-Camera Scene Flow by Tracking 3-D Points and Surfels
Found in: Computer Vision and Pattern Recognition, IEEE Computer Society Conference on
By Frederic Devernay, Diana Mateus, Matthieu Guilbert
Issue Date:June 2006
pp. 2203-2212
Scene flow represents the 3-D motion of points in the scene, just as optical flow is related to their 2-D motion in the images. As opposed to classical methods which compute scene flow from optical flow, we propose to compute it by tracking 3-D points and ...
 
Stereo Time-of-Flight with Constructive Interference
Found in: IEEE Transactions on Pattern Analysis and Machine Intelligence
By Victor Castaneda,Diana Mateus,Nassir Navab
Issue Date:July 2014
pp. 1-1
This paper describes a novel method to acquire depth images using a pair of ToF (Time-of-Flight) cameras. As opposed to approaches that filter, calibrate or do 3D reconstructions posterior to the image acquisition, we combine the measurements of the two ca...
 
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