Curvature Feature Based Shape Analysis

Authors:
Yufeng Chen;Fengxia Li;Tianyu Huang
Affiliations:
Beijing Laboratory of Intelligent Information Technology School of Computer Science and Technology, Beijing Institute of Technology, Beijing, P.R. China 100081;Beijing Laboratory of Intelligent Information Technology School of Computer Science and Technology, Beijing Institute of Technology, Beijing, P.R. China 100081;Beijing Laboratory of Intelligent Information Technology School of Computer Science and Technology, Beijing Institute of Technology, Beijing, P.R. China 100081
Venue:
ICIC '08 Proceedings of the 4th international conference on Intelligent Computing: Advanced Intelligent Computing Theories and Applications - with Aspects of Theoretical and Methodological Issues
Year:
2008

Citing 11
Cited 0

Recognition of 2D Object Contours Using the Wavelet Transform Zero-Crossing Representation

IEEE Transactions on Pattern Analysis and Machine Intelligence
Curvature scale space image in shape similarity retrieval

Multimedia Systems
Silhouette-Based Isolated Object Recognition through Curvature Scale Space

IEEE Transactions on Pattern Analysis and Machine Intelligence
Matching and Retrieval of Distorted and Occluded Shapes Using Dynamic Programming

IEEE Transactions on Pattern Analysis and Machine Intelligence
On Aligning Curves

IEEE Transactions on Pattern Analysis and Machine Intelligence
A Comparison of Shape Retrieval Using Fourier Descriptors and Short-Time Fourier Descriptors

PCM '01 Proceedings of the Second IEEE Pacific Rim Conference on Multimedia: Advances in Multimedia Information Processing
Evaluation of MPEG-7 shape descriptors against other shape descriptors

Multimedia Systems
Scale-space filtering

IJCAI'83 Proceedings of the Eighth international joint conference on Artificial intelligence - Volume 2
Shape context and chamfer matching in cluttered scenes

CVPR'03 Proceedings of the 2003 IEEE computer society conference on Computer vision and pattern recognition
A boundary-fragment-model for object detection

ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part II
A multiscale representation method for nonrigid shapes with a single closed contour

IEEE Transactions on Circuits and Systems for Video Technology

Quantified Score

Hi-index	0.00

Visualization

Abstract

A novel method is presented to evaluate the similarity of shapes based on the curvature features and their distribution. Firstly the curvature information is used to define the curvature features, which are learned and searched by the proposed statistic method. Secondly the structural features of each pair are measured, so that the distribution of the curvature feature can be further measured. Taking both advantages of the local shape context analysis and the global feature distances optimization, our method can endure large nonrigid distortion and occlusion. The experiments, which have been implemented on the MPEG-7 shape database, show that this method is efficient and robust under certain shape distortion. Another experiment on the abnormal behavior detection shows its potential in shape detection, motion tracking, image retrieving and the related areas.