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ACCV
2006
Springer
16 years 18 days ago
Probabilistic Modeling for Structural Change Inference
We view the task of change detection as a problem of object recognition from learning. The object is defined in a 3D space where the time is the 3rd dimension. We propose two com...
Wei Liu, Véronique Prinet
ACCV
2006
Springer
16 years 18 days ago
A Bottom up Algebraic Approach to Motion Segmentation
We present a bottom up algebraic approach for segmenting multiple 2D motion models directly from the partial derivatives of an image sequence. Our method fits a polynomial called ...
Dheeraj Singaraju, René Vidal
ICCV
2005
IEEE
16 years 6 days ago
Visual Learning Given Sparse Data of Unknown Complexity
This study addresses the problem of unsupervised visual learning. It examines existing popular model order selection criteria before proposes two novel criteria for improving visu...
Tao Xiang, Shaogang Gong
ICCV
2005
IEEE
16 years 6 days ago
Uncalibrated Perspective Reconstruction of Deformable Structures
Reconstruction of 3D structures from uncalibrated image sequences has a wealthy history. Most work has been focused on rigid objects or static scenes. This paper studies the probl...
Jing Xiao, Takeo Kanade
ICCV
2005
IEEE
16 years 6 days ago
Progressive Surface Reconstruction from Images Using a Local Prior
This paper introduces a new method for surface reconstruction from multiple calibrated images. The primary contribution of this work is the notion of local prior to combine the ...
Gang Zeng, Sylvain Paris, Long Quan, Franço...