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» Detection and Tracking of Facial Features in Video Sequences
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CVPR
2009
IEEE
16 years 4 months ago
Linear Embeddings in Non-Rigid Structure From Motion
This paper proposes a method to recover the embedding of the possible shapes assumed by a deforming nonrigid object by comparing triplets of frames from an orthographic video se...
Vincent Rabaud (University of California, San Dieg...
ECCV
2006
Springer
15 years 1 months ago
A Batch Algorithm for Implicit Non-rigid Shape and Motion Recovery
The recovery of 3D shape and camera motion for non-rigid scenes from single-camera video footage is a very important problem in computer vision. The low-rank shape model consists ...
Adrien Bartoli, Søren I. Olsen
EMMCVPR
2005
Springer
15 years 3 months ago
Extraction of Layers of Similar Motion Through Combinatorial Techniques
In this paper we present a new technique to extract layers in a video sequence. To this end, we assume that the observed scene is composed of several transparent layers, that their...
Romain Dupont, Nikos Paragios, Renaud Keriven, Phi...
ICIP
2010
IEEE
14 years 7 months ago
Functional vanishing point estimation via a filtered-Radon operator
When available, vanishing points in a scene are a key factor in effectively recovering absolute camera orientation, thus simplifying the structure-from-motion problem. We present ...
William Mantzel, Justin K. Romberg
ICIP
2002
IEEE
15 years 11 months ago
A recursive shape error concealment algorithm
The encoding of shape information is a distinguishing feature of MPEG-4. In error prone communication networks, it is important and efficient to conceal shape errors spatially, so...
Guido M. Schuster, Xiaohuan Li, Aggelos K. Katsagg...