Scale-Space and Edge Detection Using Anisotropic Diffusion
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Theory of Multiplexed Illumination
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
Motion-Based Motion Deblurring
IEEE Transactions on Pattern Analysis and Machine Intelligence
Vector-Valued Image Regularization with PDEs: A Common Framework for Different Applications
IEEE Transactions on Pattern Analysis and Machine Intelligence
Enhancing Resolution Along Multiple Imaging Dimensions Using Assorted Pixels
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Pattern Analysis and Machine Intelligence
Video Super-Resolution Using Controlled Subpixel Detector Shifts
IEEE Transactions on Pattern Analysis and Machine Intelligence
ACM SIGGRAPH 2005 Papers
Programmable Imaging: Towards a Flexible Camera
International Journal of Computer Vision
Coded exposure photography: motion deblurring using fluttered shutter
ACM SIGGRAPH 2006 Papers
Compressive light transport sensing
ACM Transactions on Graphics (TOG)
High-Speed videography using a dense camera array
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
Computational plenoptic imaging
ACM SIGGRAPH 2012 Courses
Motion-aware structured light using spatio-temporal decodable patterns
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part V
On Plenoptic Multiplexing and Reconstruction
International Journal of Computer Vision
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The goal of this work is to build video cameras whose spatial and temporal resolutions can be changed post-capture depending on the scene. Building such cameras is difficult due to two reasons. First, current video cameras allow the same spatial resolution and frame rate for the entire captured spatio-temporal volume. Second, both these parameters are fixed before the scene is captured. We propose different components of video camera design: a sampling scheme, processing of captured data and hardware that offer post-capture variable spatial and temporal resolutions, independently at each image location. Using the motion information in the captured data, the correct resolution for each location is decided automatically. Our techniques make it possible to capture fast moving objects without motion blur, while simultaneously preserving high-spatial resolution for static scene parts within the same video sequence. Our sampling scheme requires a fast per-pixel shutter on the sensor-array, which we have implemented using a co-located camera-projector system.