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Geometric Constraints for Object Detection and Delineation (Hardcover, 1999 ed.)
Loot Price: R4,319
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Geometric Constraints for Object Detection and Delineation (Hardcover, 1999 ed.)
Series: The Springer International Series in Engineering and Computer Science, 530
Expected to ship within 12 - 17 working days
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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. PIVOT, the fully automated system implementing
these techniques, is quantitatively evaluated on 83 images covering
18 test scenes, and compared to three existing systems for building
extraction. The results highlight the performance improvements
possible with rigorous photogrammetric camera modeling,
primitive-based object representations, and geometric constraints
derived from their combination. PIVOT's performance illustrates the
implications of a clearly articulated set of philosophical
principles, taking a significant step towards automatic detection
and delineation of 3D objects in real-world environments. 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.
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