Average Reviews:
(More customer reviews)Automated shape analysis is a difficult task, with many practical applications. The text is a collection of papers tackling the problem. Several use level set methods while others perform analysis in an infinite dimensional space. Some chapters deal with extracting level lines from a two dimensional image, while one chapter discusses the use of integral invariants for shape matching.
The maths treatment throughout the book is advanced. Perhaps best for a graduate student or higher. What may be striking to the reader is that our wetware pattern recognition is still so much better than the algorithmic methods documented here. Much research remains to be done, and the book is only an early step.
Click Here to see more reviews about: Statistics and Analysis of Shapes (Modeling and Simulation in Science, Engineering and Technology)
The subject of pattern analysis and recognition pervades many aspects of our daily lives, including user authentication in banking, object retrieval from databases in the consumer sector, and the omnipresent surveillance and security measures around sensitive areas. Shape analysis, a fundamental building block in many approaches to these applications, is also used in statistics, biomedical applications (Magnetic Resonance Imaging), and many other related disciplines.With contributions from some of the leading experts and pioneers in the field, this self-contained, unified volume is the first comprehensive treatment of theory, methods, and algorithms available in a single resource. Developments are discussed from a rapidly increasing number of research papers in diverse fields, including the mathematical and physical sciences, engineering, and medicine.
Get 36% OFF
No comments:
Post a Comment