Concise computer vision an introduction into theory and algorithms / Reinhard Klette.

Author/creator Klette, Reinhard
Format Electronic
Publication InfoLondon : Springer, [2014]
Descriptionxviii, 429 pages : illustrations (some color) ; 24 cm
Supplemental ContentFull text available from Springer Nature - Springer Computer Science eBooks 2014 English International
Supplemental ContentFull text available from Springer Books
Subjects

SeriesUndergraduate topics in computer science, 1863-7310
Undergraduate topics in computer science, 1863-7310 ^A787640
Contents 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.
Abstract "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." -- Provided by publisher.
Bibliography noteIncludes indexes.
Access restrictionAvailable only to authorized users.
Technical detailsMode of access: World Wide Web
Genre/formElectronic books.
LCCN 2013958392
ISBN9781447163190 (pbk.)
ISBN1447163192
ISBN1447163206
ISBN9781447163206
Standard identifier# 10.1007/978-1-4471-6320-6

Availability

Library Location Call Number Status Item Actions
Electronic Resources ✔ Available