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Springer Geometric Constraints for Object Detection and Delineation

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Description

Improve your understanding of 3D object extraction from images with this specialized text from the Springer International Series in Engineering and Computer Science. This book addresses the challenges of detecting and delineating generic objects in environments where shape or scene content constraints are limited. As automation becomes more important in fields like autonomous navigation, industrial inspection, and assembly, the need for robust detection techniques grows. This volume provides a suite of novel methods designed to overcome obstacles in these complex problem domains. It is an essential resource for researchers and professionals working on the development of advanced computer vision and machine learning techniques for cartographic database compilation and other high-stakes automation tasks.

Key Features

Explore novel methods for detecting and delineating generic objects within complex images.

Address technical obstacles in domains that lack strong constraints on object shape or scene content.

Learn techniques applicable to autonomous navigation and industrial inspection and assembly.

Gain insights into the automation of cartographic database compilation through 3D object extraction.

Part of the professional Springer International Series in Engineering and Computer Science.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
30 November 1999
Listed Since
15 December 2006

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