Geometric constraints for object detection and delineation
By: by Jefferey Shufelt.
Series: The Kluwer international series in engineering and computer science -- SECS 530
Publisher: Kluwer Academic Publishers; Springer
Published: 2000
Place of publication: Boston
Language: eng
Number of pages: 265
Subjects: Image processing -- Digital techniques.; Computer vision.; Image analysis -- Data processing.; Geometry.
Description: "The ability to extract generic 3D objects from images is a crucial step towards automation of a variety of problems in cartographic database compilation, industrial inspection and assembly, and autonomous navigation. Many of these problem domains do not have strong constraints on object shape or scene content, presenting serious obstacles for the development of robust object detection and delineation techniques.

Geometric Constraints for Object detection and delineation addresses these problems with a suite of novel methods and techniques for detecting and delineating generic objects in images of complex scenes, and applies them to the specific task of building detection and delineation from monocular aerial imagery."--BOOK JACKET.

"Geometric Constraints for Object Detection and Delineation is suitable as a textbook or as a secondary text for a graduate level course, and as a reference for researchers and practitioners in industry."--BOOK JACKET.
Notes: Includes bibliographical references and index.