Publication year: 2022
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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. 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.
Subject: Computer Imaging, Vision, Pattern Recognition and Graphics, Machine Learning, Signal Processing, Imaging Techniques, Computer Vision, Image Processing, Deep Learning, 3D Reconstruction, Feature Detection and Matching, Image Segmentation, Structure from Motion, Motion Estimation, Image Stitching, Computational Photography, Image-Based Rendering, Scene Recognition