Bøker i Foundations and Trends (R) in Computer Graphics and Vision-serien

Describes what the authors consider are fundamental building blocks for geometric computer vision or structure-from-motion: epipolar geometry, pose and motion estimation, 3D scene modeling, and bundle adjustment. The main goal is to highlight the core principles of these, which are independent of specific camera models.

Provides a detailed guide to the mathematical theory and computer algorithms for line drawing of 3D objects. The book focuses on the curves known as contours as they are the most important curves for line drawing of 3D surfaces. The authors describe the different algorithms required to compute and render these curves.

Explores discrete energy minimization for discrete graphical models. The book considers graphical models, or, more precisely, maximum a posteriori inference for graphical models, purely as a combinatorial optimization problem.

Introduces the latest trends and deep-learning-based techniques for multimedia forensics in both architectural and data-processing. Different techniques used to manipulate content are presented, followed by image and video forgery techniques. Deep learning methods for source identification and solutions for deepfake detection are covered.