Sciweavers

ICCV
2003
IEEE
14 years 6 months ago
Bayesian Clustering of Optical Flow Fields
We present a method for unsupervised learning of classes of motions in video. We project optical flow fields to a complete, orthogonal, a-priori set of basis functions in a probab...
Jesse Hoey, James J. Little
ICCV
2003
IEEE
14 years 6 months ago
Real Time Pattern Matching Using Projection Kernels
A novel approach to pattern matching is presented, which reduces time complexity by two orders of magnitude compared to traditional approaches. The suggested approach uses an effi...
Yacov Hel-Or, Hagit Hel-Or
ICCV
2003
IEEE
14 years 6 months ago
Learning a Locality Preserving Subspace for Visual Recognition
Previous works have demonstrated that the face recognition performance can be improved significantly in low dimensional linear subspaces. Conventionally, principal component analy...
Xiaofei He, Shuicheng Yan, Yuxiao Hu, HongJiang Zh...
ICCV
2003
IEEE
14 years 6 months ago
Statistical Background Subtraction for a Mobile Observer
Statistical background modelling and subtraction has proved to be a popular and effective class of algorithms for segmenting independently moving foreground objects out from a sta...
Eric Hayman, Jan-Olof Eklundh
ICCV
2003
IEEE
14 years 6 months ago
Photo-Consistent 3D Fire by Flame-Sheet Decomposition
This paper considers the problem of reconstructing visually realistic 3D models of fire from a very small set of simultaneous views (even two). By modeling fire as a semi-transpar...
Samuel W. Hasinoff, Kiriakos N. Kutulakos
ICCV
2003
IEEE
14 years 6 months ago
Towards a Mathematical Theory of Primal Sketch and Sketchability
In this paper, we present a mathematical theory for Marr's primal sketch. We first conduct a theoretical study of the descriptive Markov random field model and the generative...
Cheng-en Guo, Song Chun Zhu, Ying Nian Wu
ICCV
2003
IEEE
14 years 6 months ago
Probabilistic Bilinear Models for Appearance-Based Vision
David B. Grimes, Aaron P. Shon, Rajesh P. N. Rao
ICCV
2003
IEEE
14 years 6 months ago
Inferring 3D Structure with a Statistical Image-Based Shape Model
We present an image-based approach to infer 3D structure parameters using a probabilistic "shape+structure" model. The 3D shape of an object class is represented by sets...
Kristen Grauman, Gregory Shakhnarovich, Trevor Dar...
ICCV
2003
IEEE
14 years 6 months ago
Recovery of Epipolar Geometry as a Manifold Fitting Problem
Liran Goshen, Ilan Shimshoni, P. Anandan, Daniel K...
ICCV
2003
IEEE
14 years 6 months ago
Recognition of Group Activities using Dynamic Probabilistic Networks
Dynamic Probabilistic Networks (DPNs) are exploited for modelling the temporal relationships among a set of different object temporal events in the scene for a coherent and robust...
Shaogang Gong, Tao Xiang