This book describes the fundamental building-block of many new computer vision systems: dense and robust correspondence estimation.
This book describes the fundamental building-block of many new computer vision systems: dense and robust correspondence estimation. Dense correspondence estimation techniques are now successfully being used to solve a wide range of computer vision problems, very different from the traditional applications such techniques were originally developed to solve. This book introduces the techniques used for establishing correspondences between challenging image pairs, the novel features used to make these techniques robust, and the many problems dense correspondences are now being used to solve. The book provides information to anyone attempting to utilize dense correspondences in order to solve new or existing computer vision problems. The editors describe how to solve many computer vision problems by using dense correspondence estimation. Finally, it surveys resources, code and data, necessary for expediting the development of effective correspondence-based computer vision systems.
Get Dense Image Correspondences for Computer Vision by Ce Liu at the best price and quality guaranteed only at Werezi Africa's largest book ecommerce store. The book was published by Springer International Publishing AG and it has 295 pages.
Our digital collection is currently being curated to ensure the best possible reading experience on Werezi. We'll be launching our Ebooks platform shortly.
Your privacy, your choice
Make Werezi work for you
We use essential cookies for your cart and sign-in. With your permission, optional cookies help us understand how Werezi is used and improve your book recommendations.
Essential cookies are always active. Optional analytics stay off unless you choose Allow all.