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» Graph-Theoretical Methods in Computer Vision
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131
Voted
CVPR
2009
IEEE
16 years 9 months ago
Discriminatively Trained Particle Filters for Complex Multi-Object Tracking
This work presents a discriminative training method for particle filters in the context of multi-object tracking. We are motivated by the difficulty of hand-tuning the many mode...
Alan Fern, Robin Hess
87
Voted
ICCV
2009
IEEE
16 years 7 months ago
Body-Relative Navigation Guidance Using Uncalibrated Cameras
We present a vision-based method that assists human navigation within unfamiliar environments. Our main contribution is a novel algorithm that learns the correlation between use...
Olivier Koch, Seth Teller
124
Voted
ICCV
2009
IEEE
1234views Computer Vision» more  ICCV 2009»
16 years 7 months ago
Human Pose Estimation Using Consistent Max-Covering
We propose a novel consistent max-covering scheme for human pose estimation. Consistent max-covering formulates pose estimation as the covering of body part polygons on an objec...
Hao Jiang
180
Voted
CVPR
1997
IEEE
1944views Computer Vision» more  CVPR 1997»
16 years 4 months ago
Image Indexing Using Color Correlograms
We define a new image feature called the color correlogram and use it for image indexing and comparison. This feature distills the spatial correlation of colors, and is both effec...
Jing Huang, Ravi Kumar, Mandar Mitra, Wei-Jing Zhu...
106
Voted
CVPR
1998
IEEE
16 years 4 months ago
Clustering Appearances of 3D Objects
We introduce a method for unsupervised clustering of images of 3D objects. Our method examines the space of all images and partitions the images into sets that form smooth and par...
Ronen Basri, Dan Roth, David W. Jacobs