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portada Computer Vision: From Perception to Reconstruction/计算机视觉:从感知到重建 (in Chinese)
Type
Physical Book
Publisher
Author
Language
Chinese
Format
Paperback
ISBN13
9787547864951

Computer Vision: From Perception to Reconstruction/计算机视觉:从感知到重建 (in Chinese)

高盛华 厉征鑫 (Author) · China National Publications Import & Export C · Paperback

Computer Vision: From Perception to Reconstruction/计算机视觉:从感知到重建 (in Chinese) - 高盛华 厉征鑫

New Book Imported to Taiwan
Delivery: 30 Oct - 09 Nov Shipping: 5 to 6 business days.
NT$ 1,990
NT$ 1,990

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Synopsis "Computer Vision: From Perception to Reconstruction/计算机视觉:从感知到重建 (in Chinese)"

A comprehensive and in-depth introduction to computer vision theories and deep learning technologies. ¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿ This book primarily introduces and explores a series of core topics in computer vision, including camera imaging, image processing, analysis and perception, and 3D reconstruction. It begins with an introduction to camera models, imaging processes, as well as color models, illumination models, and rendering models. Subsequently, it systematically covers various tasks such as image filtering, feature extraction, and image and video perception and understanding. For each task, the book not only provides a detailed explanation of classical methods but also comprehensively introduces cutting-edge deep learning-based approaches. Finally, it discusses the geometric principles involved in 3D reconstruction, the reconstruction pipeline, and novel deep learning-based methods. Each core problem is addressed in its own chapter, with emphasis on explaining fundamental concepts. The book makes extensive use of color illustrations to help readers understand the material. It is suitable as a textbook for undergraduate and graduate courses in computer vision and digital image processing, and can also serve as a reference book for deep learning courses. Additionally, it provides a valuable resource for professionals and researchers interested in computer vision. ¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿ ¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿ Read more

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