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» Clustering from Constraint Graphs
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113
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ACCV
2006
Springer
15 years 9 months 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
114
Voted
SAMOS
2004
Springer
15 years 8 months ago
with Wide Functional Units
— Architectural resources and program recurrences are the main limitations to the amount of Instruction-Level Parallelism (ILP) exploitable from loops, the most time-consuming pa...
Miquel Pericàs, Eduard Ayguadé, Javi...
CVPR
2005
IEEE
16 years 5 months ago
A Unified Optimization Based Learning Method for Image Retrieval
In this paper, an optimization based learning method is proposed for image retrieval from graph model point of view. Firstly, image retrieval is formulated as a regularized optimi...
Hanghang Tong, Jingrui He, Mingjing Li, Wei-Ying M...
139
Voted
CVPR
2007
IEEE
15 years 9 months ago
Single View Human Action Recognition using Key Pose Matching and Viterbi Path Searching
3D human pose recovery is considered as a fundamental step in view-invariant human action recognition. However, inferring 3D poses from a single view usually is slow due to the la...
Fengjun Lv, Ramakant Nevatia
177
Voted
CVPR
2011
IEEE
14 years 11 months ago
Global Stereo Matching Leveraged by Sparse Ground Control Points
We present a novel global stereo model that makes use of constraints from points with known depths, i.e., the Ground Control Points (GCPs) as referred to in stereo literature. Our...
Liang Wang, Ruigang Yang