2D object detection and recognition : models, algorithms, and networks / Yali Amit.

Format:

Book

Author/Creator:

Amit, Yali, author.

Language:

English

Subjects (All):

Computer vision.

Physical Description:

1 online resource (xiv, 306 pages) : illustrations

Place of Publication:

Cambridge, Mass. : MIT Press, [2002]

System Details:

text file

Summary:

Two important subproblems of computer vision are the detection and recognition of 2D objects in gray-level images. This book discusses the construction and training of models, computational approaches to efficient implementation, and parallel implementations in biologically plausible neural network architectures. The approach is based on statistical modeling and estimation, with an emphasis on simplicity, transparency, and computational efficiency. The book describes a range of deformable template models, from coarse sparse models involving discrete, fast computations to more finely detailed models based on continuum formulations, involving intensive optimization. Each model is defined in terms of a subset of points on a reference grid (the template), a set of admissible instantiations of these points (deformations), and a statistical model for the data given a particular instantiation of the object present in the image. A recurring theme is a coarse to fine approach to the solution of vision problems. The book provides detailed descriptions of the algorithms used as well as the code, and the software and data sets are available on the Web.

Notes:

OCLC-licensed vendor bibliographic record.

ISBN:

9780262267090

0262267098

058544630X

9780585446301

OCLC:

52291871

Access Restriction:

Restricted for use by site license.