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Springer Geometric Constraints for Object Detection and Delineation

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Description

Improve your understanding of advanced computer vision with Geometric Constraints for Object Detection and Delineation. Published by Springer as part of the International Series in Engineering and Computer Science, this volume addresses the fundamental challenges of extracting 3D objects from images. Automation in fields like industrial inspection, assembly, cartographic database compilation, and autonomous navigation requires robust techniques that can handle scenes without strong shape constraints. This book provides a suite of novel methods designed to detect and delineate generic objects even when scene content is complex or unpredictable. Whether you are working on autonomous navigation systems or industrial automation, these technical insights offer solutions for developing more reliable detection and delineation techniques. This text is a valuable resource for professionals and researchers focused on AI and machine learning applications in computer science.

Key Features

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

Addresses automation challenges in industrial inspection, assembly, and autonomous navigation.

Offers technical solutions for cartographic database compilation and 3D object extraction.

Explores techniques for scenes that lack strong constraints on object shape or content.

Part of the Springer International Series in Engineering and Computer Science (530).

Product Specifications

Format
Paperback
Domain
Amazon UK
Publication Date
11 October 2012
Listed Since
14 July 2013

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