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» Shape Band: A Deformable Object Detection Approach
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IJCAI
2007
14 years 11 months ago
MESH-Based Active Monte Carlo Recognition (MESH-AMCR)
In this paper we extend Active Monte Carlo Recognition (AMCR), a recently proposed framework for object recognition. The approach is based on the analogy between mobile robot loca...
Felix von Hundelshausen, Hans-Joachim Wünsche...
CVPR
1999
IEEE
15 years 11 months ago
Deformable Template and Distribution Mixture-Based Data Modeling for the Endocardial Contour Tracking in an Echographic Sequence
We1 present a new method to shape-based segmentation of deformable anatomical structures in medical images and validate this approach by detecting and tracking the endocardial bor...
Max Mignotte, Jean Meunier
CVPR
2010
IEEE
15 years 3 months ago
Many-to-one Contour Matching for Describing and Discriminating Object Shape
We present an object recognition system that locates an object, identifies its parts, and segments out its contours. A key distinction of our approach is that we use long, salien...
Praveen Srinivasan, Qihui Zhu, Jianbo Shi
AVSS
2008
IEEE
15 years 4 months ago
Recognizing Shapes in Video Sequences Using Multi-class Boosting
We model the spatio-temporal variations of the shape of objects in a video sequence using a unique SVD-like decomposition. The decomposition is used to compute shape features, whi...
Naresh P. Cuntoor, Matt Welborn
CVPR
2009
IEEE
16 years 4 months ago
Linear Embeddings in Non-Rigid Structure From Motion
This paper proposes a method to recover the embedding of the possible shapes assumed by a deforming nonrigid object by comparing triplets of frames from an orthographic video se...
Vincent Rabaud (University of California, San Dieg...