Computational Photography: Mastering New Techniques for Lenses, Lighting, and Sensors.pdf
Computational Photography combines plentiful computing, digital sensors, modern optics, actuators, probes, and smart lights to escape the limitations of traditional film cameras and enables novel imaging applications. This book provides a practical guide to topics in image capture and manipulation methods for generating compelling pictures for graphics, special effects, scene comprehension, and art. The computational techniques discussed cover topics in exploiting new ideas in manipulating optics, illumination, and sensors at time of capture. In addition, the authors describe sophisticated reconstruction procedures from direct and indirect pixel measurements that go well beyond the traditional digital darkroom experience.
Ramesh Raskar is a Senior Research Scientist at Mitsubishi Electric Research Laboratories. His research interests include projector-based graphics, computational photography, and non-photorealistic rendering. He has published several articles on imaging and photography and is co-author of Spatial Augmented Reality: Merging Real and Virtual Worlds. Jack Tumblin is an Assistant Professor of Computer Science at Northwestern University. He is co-founder of IVEX Corp., where his flight-simulator design work was granted five US patents.