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76
Voted
CVPR
2003
IEEE
16 years 7 days ago
Practical Non-parametric Density Estimation on a Transformation Group for Vision
It is now common practice in machine vision to define the variability in an object's appearance in a factored manner, as a combination of shape and texture transformations. I...
Erik G. Miller, Christophe Chefd'Hotel
84
Voted
CVPR
2008
IEEE
16 years 7 days ago
Statistical analysis on Stiefel and Grassmann manifolds with applications in computer vision
Many applications in computer vision and pattern recognition involve drawing inferences on certain manifoldvalued parameters. In order to develop accurate inference algorithms on ...
Pavan K. Turaga, Ashok Veeraraghavan, Rama Chellap...
76
Voted
CVPR
2008
IEEE
16 years 7 days ago
From skeletons to bone graphs: Medial abstraction for object recognition
letons to Bone Graphs: Medial Abstraction for Object Recognition Diego Macrini University of Toronto Kaleem Siddiqi McGill University Sven Dickinson University of Toronto Medial d...
Diego Macrini, Kaleem Siddiqi, Sven J. Dickinson
137
Voted
SCALESPACE
2007
Springer
15 years 4 months ago
3D Object Recognition by Eigen-Scale-Space of Contours
People often recognize 3D objects by their boundary shape. Designing an algorithm for such a task is interesting and useful for retrieving objects from a shape database. In this pa...
Tim K. Lee, Mark S. Drew
104
Voted
ICCV
2011
IEEE
13 years 10 months ago
From Contours to 3D Object Detection and Pose Estimation
This paper addresses view-invariant object detection and pose estimation from a single image. While recent work focuses on object-centered representations of point-based object fe...
Nadia Payet, Sinisa Todorovic