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» Motion Field Estimation for Temporal Textures
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ICPR
2002
IEEE
15 years 10 months ago
Object Segmentation and Tracking Using Video Locales
In this paper, we present a new technique based on feature localization for segmenting and tracking objects in videos. A video locale is a sequence of image feature locales that s...
James Au, Ze-Nian Li, Mark S. Drew
ECCV
2008
Springer
15 years 11 months ago
Temporal Surface Tracking Using Mesh Evolution
In this paper, we address the problem of surface tracking in multiple camera environments and over time sequences. In order to fully track a surface undergoing significant deformat...
Kiran Varanasi, Andrei Zaharescu, Edmond Boyer, Ra...

Book
5396views
16 years 8 months ago
Markov Random Field Modeling in Computer Vision
Markov random field (MRF) theory provides a basis for modeling contextual constraints in visual processing and interpretation. It enables us to develop optimal vision algorithms sy...
Stan Z. Li
ICCV
2005
IEEE
15 years 3 months ago
Spherical Matching for Temporal Correspondence of Non-Rigid Surfaces
This paper introduces spherical matching to estimate dense temporal correspondence of non-rigid surfaces with genus-zero topology. The spherical domain gives a consistent 2D param...
Jonathan Starck, Adrian Hilton
CVPR
2000
IEEE
15 years 11 months ago
Representation and Recognition of Complex Human Motion
The quest for a vision system capable of representing and recognizing arbitrary motions benefits from a low dimensional, non-specific representation of flow fields, to be used in ...
Jesse Hoey, James J. Little