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Computer Vision algorithms and applications second edition

Computer Vision: Algorithms and Applications explores the variety of techniques commonly used to analyze and interpret images. It also describes challenging real-world applications where vision is being successfully used, both for specialized applications such as medical imaging, and for fun, consumer-level tasks such as image editing and stitching, which students can apply to their own personal photos and videos. More than just a source of “recipes,” this exceptionally authoritative and comprehensive textbook/reference also takes a scientific approach to basic vision problems, formulating physical models of the imaging process before inverting them to produce descriptions of a scene. These problems are also analyzed using statistical models and solved using rigorous engineering techniques. Topics and features: structured to support active curricula and project-oriented courses, with tips in the Introduction for using the book in a variety of customized courses; presents exercises at the end of each chapter with a heavy emphasis on testing algorithms and containing numerous suggestions for small mid-term projects; provides additional material and more detailed mathematical topics in the Appendices, which cover linear algebra, numerical techniques, and Bayesian estimation theory; suggests additional reading at the end of each chapter, including the latest research in each sub-field, in addition to a full Bibliography at the end of the book; supplies supplementary course material for students at the associated website, http://szeliski.org/Book/. Suitable for an upper-level undergraduate or graduate-level course in computer science or engineering, this textbook focuses on basic techniques that work under real-world conditions and encourages students to push their creative boundaries. Its design and exposition also make it eminently suitable as a unique reference to the fundamental techniques and current research literature in computer vision.

Ketersediaan

Informasi Detail

Judul Seri

-

No. Panggil

006.37 SZE c

Penerbit

Seattle : Springer., 2022

Deskripsi Fisik

xxii, 925 hlm. : ilus. : ind. : bib. ; 27 cm

Bahasa

English

ISBN/ISSN

978-3-030-34371-2

Klasifikasi

006.37

Tipe Isi

text

Tipe Media

unmediated

Tipe Pembawa

unspecified

Edisi

Ed. 2. ; Cet. 1.

Subjek

Visi komputer

Info Detail Spesifik

-

Pernyataan Tanggungjawab

Richard Szeliski

Informasi Lainnya

Fakultas

Keguruan dan Ilmu Pendidikan -- Sains dan Teknologi

Program Studi

Keguruan dan Ilmu Pendidikan -- Sains dan Teknologi -- S1 Teknik Sipil -- S1 Agribisnis -- S1 Teknik Informatika -- S1 Pendidikan Teknologi Informasi

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