How to reconstruct scenes from images using geometry and algebra, with applications to computer vision.
How to reconstruct scenes from images using geometry and algebra, with applications to computer vision.
How to reconstruct scenes from images using geometry and algebra, with applications to computer vision.
The authors have backgrounds in geodesy and also long experience with development and research in computer vision, and this is the first book to present a joint approach from the converging fields of photogrammetry and computer vision.
This book will help you tackle increasingly challenging computer vision problems .
A modern treatment focusing on learning and inference, with minimal prerequisites, real-world examples and implementable algorithms.
This book introduces the geometry of 3-D vision, that is, the reconstruction of 3-D models of objects from a collection of 2-D images.
Agarwala, A., Agrawala, M., Cohen, M., Salesin, D., and Szeliski, R. (2006). Photographing long scenes with multi-viewpoint panoramas. ACM Transactions on Graphics (Proc. SIGGRAPH 2006), 25(3):853–861. Agarwala, A., Dontcheva, M., ...
Coverage in this volume includes shape and texture, face and gesture, camera networks, face/gesture/action detection and recognition, learning, motion and tracking, human pose estimation, matching, face/gesture/action detection and ...
His theoretical account is illustratedwith the results of actual working programs.Three-Dimensional Computer Vision proposes solutions toproblems arising from a specific robotics scenario in which a system must perceive and act.
Camera Models and Fundamental Concepts Used in Geometric Computer Vision surveys the image acquisition methods used in computer vision and especially, of the vast number of camera models that have been proposed and investigated over the ...