2007 IEEE 11th International Conference on Computer Vision

Format:

Book

Author/Creator:

Institute of Electrical and Electronics Engineers, author, issuing body.

Contributor:

IEEE Staff, Contributor.

Language:

English

Subjects (All):

Computer vision--Congresses.

Computer vision.

Physical Description:

1 online resource

Place of Publication:

[Place of publication not identified] IEEE 2007

Language Note:

English

Summary:

We propose a simple probabilistic generative model for image segmentation. Like other probabilistic algorithms (such as EM on a Mixture of Gaussians) the proposed model is principled, provides both hard and probabilistic cluster assignments, as well as the ability to naturally incorporate prior knowledge. While previous probabilistic approaches are restricted to parametric models of clusters (e.g., Gaussians) we eliminate this limitation. The suggested approach does not make heavy assumptions on the shape of the clusters and can thus handle complex structures. Our experiments show that the suggested approach outperforms previous work on a variety of image segmentation tasks.

Notes:

Bibliographic Level Mode of Issuance: Monograph

ISBN:

9781509088331

1509088334