Concise computer vision : an introduction into theory and algorithms /
- 1 online resource (xviii, 429 pages) : illustrations.
- Undergraduate topics in computer science, 2197-1781 .
Includes bibliographical references and indexes.
Image data -- Image processing -- Image analysis -- Dense motion analysis -- Image segmentation -- Cameras, coordinates, and calibration -- 3D shape reconstruction -- Stereo matching -- Feature detection and tracking -- Object detection.
"Many textbooks on computer vision can be unwieldy and intimidating in their coverage of this extensive discipline. This textbook addresses the need for a concise overview of the fundamentals of this field. Concise Computer Vision provides an accessible general introduction to the essential topics in computer vision, highlighting the role of important algorithms and mathematical concepts. Classroom-tested programming exercises and review questions are also supplied at the end of each chapter. This concise and easy to read textbook/reference is ideal for an introductory course at third- or fourth-year level in an undergraduate computer science or engineering programme." --