Bộ sách luyện thi ETS 2023 LC&RC
199,000₫
299,000₫
Sách keo gáy, Bìa mềm
Thể loại:Computers - Computer Science
Năm:2022
In lần thứ:2nd ed. 2022
Ngôn ngữ:english
Trang:947 / 938
Computer Vision: Algorithms and Applications explores the
variety of techniques used to analyze and interpret images. It also
describes challenging real-world applications where vision is being
successfully used, both in specialized applications such as image search
and autonomous navigation, as well as for fun, consumer-level tasks
that students can apply to their own personal photos and videos.
More
than just a source of “recipes,” this exceptionally authoritative and
comprehensive textbook/reference takes a scientific approach to the
formulation of computer vision problems. These problems are then
analyzed using the latest classical and deep learning models and solved
using rigorous engineering principles.
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
Incorporates
totally new material on deep learning and applications such as mobile
computational photography, autonomous navigation, and augmented reality
Presents
exercises at the end of each chapter with a heavy emphasis on testing
algorithms and containing numerous suggestions for small mid-term
projects
Includes 1,500 new citations and 200 new figures that cover the tremendous developments from the last decade
Provides
additional material and more detailed mathematical topics in the
Appendices, which cover linear algebra, numerical techniques, estimation
theory, datasets, and software
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.
