Skip to main content

Multiple shape models for simultaneous object classification and segmentation

Publication ,  Journal Article
Lecumberry, F; Pardo, A; Sapiro, G
Published in: Proceedings - International Conference on Image Processing, ICIP
January 1, 2009

Shape models (SMs), capturing the common features of a set of training shapes, represent a new incoming object based on its projection onto the corresponding model. Given a set of learned SMs representing different objects, and an image with a new shape, this work introduces a joint classification- segmentation framework with a twofold goal. First, to automatically select the SM that best represents the object, and second, to accurately segment the image taking into account both the image information and the features and variations learned from the on-line selected model. A new energy functional is introduced that simultaneously accomplishes both goals. Model selection is performed based on a shape similarity measure, determining which model to use at each iteration of the steepest descent minimization, allowing for model switching and adaptation to the data. High-order SMs are used in order to deal with very similar object classes and natural variability within them. The presentation of the framework is complemented with examples for the difficult task of simultaneously classifying and segmenting closely related shapes, stages of human activities, in images with severe occlusions. ©2009 IEEE.

Duke Scholars

Published In

Proceedings - International Conference on Image Processing, ICIP

DOI

ISSN

1522-4880

Publication Date

January 1, 2009

Start / End Page

3001 / 3004
 

Citation

APA
Chicago
ICMJE
MLA
NLM
Lecumberry, F., Pardo, A., & Sapiro, G. (2009). Multiple shape models for simultaneous object classification and segmentation. Proceedings - International Conference on Image Processing, ICIP, 3001–3004. https://doi.org/10.1109/ICIP.2009.5414596
Lecumberry, F., A. Pardo, and G. Sapiro. “Multiple shape models for simultaneous object classification and segmentation.” Proceedings - International Conference on Image Processing, ICIP, January 1, 2009, 3001–4. https://doi.org/10.1109/ICIP.2009.5414596.
Lecumberry F, Pardo A, Sapiro G. Multiple shape models for simultaneous object classification and segmentation. Proceedings - International Conference on Image Processing, ICIP. 2009 Jan 1;3001–4.
Lecumberry, F., et al. “Multiple shape models for simultaneous object classification and segmentation.” Proceedings - International Conference on Image Processing, ICIP, Jan. 2009, pp. 3001–04. Scopus, doi:10.1109/ICIP.2009.5414596.
Lecumberry F, Pardo A, Sapiro G. Multiple shape models for simultaneous object classification and segmentation. Proceedings - International Conference on Image Processing, ICIP. 2009 Jan 1;3001–3004.

Published In

Proceedings - International Conference on Image Processing, ICIP

DOI

ISSN

1522-4880

Publication Date

January 1, 2009

Start / End Page

3001 / 3004