Chapman & Hall/CRC Computer Vision

This series aims to capture the latest developments in Computer Vision (CV), as well as high-quality work summarizing or contributing to more established topics.

It welcomes contributions from across the spectrum of academic and industrial research and practice, and publishes a broad range of textbooks, reference books, handbooks, and primers.

Topics may include but are not limited to the following: CV applications and systems, 3D, action and behavior recognition, adversarial learning, autonomous vehicles, biometrics, bodies and faces, computational photography, detection and localization, efficient training and inference methods, explainable AI for CV, ethics and responsibility in CV, egocentric vision, image and video manipulation, machine learning for CV, medical and biological CV, motion and tracking, neural generative models, physics-based vision,retrieval and synthesis, robotics and embodied vision, scene analysis and understanding, text and document understanding, unsupervised learning, stereo, transfer learning, video analysis and understanding, vision and other modalities, visual reasoning and logical representation.

For more information or to submit a book proposal for the series, please contact Elliott Morsia, Editor, CS ([email protected]).