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

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.

While several survey papers on particular sub-problems have appeared, no comprehensive survey on problems, datasets, and methods in computer vision for autonomous vehicles has been published. This monograph fills this gap by providing a survey on the state-of-the-art datasets and techniques.

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.

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.

Presents a comprehensive survey of the currently available Web3D tools and their applications. The authors define a schema of the available possibilities and features supported by enabling technologies and implemented systems.

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.

Introduces the reader to the most popular classes of structured models in computer vision. The focus is on discrete undirected graphical models which are covered in detail together with a description of algorithms for both probabilistic inference and maximum a posteriori inference.