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» Learning 3-D object orientation from images
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ICIP
2008
IEEE
16 years 7 months ago
Implicit spatial inference with sparse local features
This paper introduces a novel way to leverage the implicit geometry of sparse local features (e.g. SIFT operator) for the purposes of object detection and segmentation. A two-clas...
Deirdre O'Regan, Anil C. Kokaram
187
Voted
EMMCVPR
2001
Springer
15 years 10 months ago
A Hierarchical Markov Random Field Model for Figure-Ground Segregation
To segregate overlapping objects into depth layers requires the integration of local occlusion cues distributed over the entire image into a global percept. We propose to model thi...
Stella X. Yu, Tai Sing Lee, Takeo Kanade
ICIP
2007
IEEE
16 years 3 days ago
Graph Cut Segmentation with Nonlinear Shape Priors
Graph cut image segmentation with intensity information alone is prone to fail for objects with weak edges, in clutter, or under occlusion. Existing methods to incorporate shape a...
James G. Malcolm, Yogesh Rathi, Allen Tannenbaum
CVPR
2007
IEEE
16 years 7 months ago
Quality-Driven Face Occlusion Detection and Recovery
This paper presents a framework to automatically detect and recover the occluded facial region. We first derive a Bayesian formulation unifying the occlusion detection and recover...
Dahua Lin, Xiaoou Tang
CGIM
2003
15 years 7 months ago
Snake for Band Edge Extraction and Its Applications
A novel snake model suitable for edge extraction of bandshape objects is presented in this paper. Based on the proposed model, an edge tracking system, EdgeTrak, has been develope...
Min Li, Chandra Kambhamettu, Maureen C. Stone