Surfaces in Range Image Understanding
By: by Paul J. Besl
Series: Springer Series in Perception Engineering; Springer series in perception engineering
Publisher: Springer New York
Published: 1988
Place of publication: New York, NY
Language: eng
Format: [electronic resource] /
Number of pages: 339
ISBN-13: 9781461283966; 9781461239062
Subjects: Computer vision; Computer graphics; Computer science
Description: Machine perception requires the digitization of physically-sensed signals. During the last ten years, digital range images have become available from a variety of sensors. This book is devoted to the problem of range image understanding with computers. Its aims are to develop a theoretical framework, devise appropriate algorithms, and demonstrate a software implementation of those algorithms that will confirm the usefulness of surfaces in range image understanding. It will be of interest to the researcher studying the theoretical concepts of image understanding, as well as the engineer who wants to implement these concepts in practical applications.
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Table of contents: title: Contents: Introduction; title: Object Recognition and Segmentation; title: Surface Curvature Characteristics; title: From Surface Labels to Surface Primitives; title: Description Combination and Region Merging; title: Region Edges; title: Experimental Results; title: Conclusions and Future Directions; title: Surface Curvature Invariance Theorems; title: Discrete Intrinsic Properties; title: Least Squares Surface Fitting; title: Equal Angle Increment Sampling; title: A Metric Space of Image Regions; title: Software Implementation; title: Iterative Region Growing Algorithm; title: References.