Plenoptic modeling: an image-based rendering system
SIGGRAPH '95 Proceedings of the 22nd annual conference on Computer graphics and interactive techniques
SIGGRAPH '96 Proceedings of the 23rd annual conference on Computer graphics and interactive techniques
SIGGRAPH '96 Proceedings of the 23rd annual conference on Computer graphics and interactive techniques
Proceedings of the 27th annual conference on Computer graphics and interactive techniques
Limits on Super-Resolution and How to Break Them
IEEE Transactions on Pattern Analysis and Machine Intelligence
3DPVT '04 Proceedings of the 3D Data Processing, Visualization, and Transmission, 2nd International Symposium
Image-Based Rendering
Super resolutionwith probabilistic motion estimation
IEEE Transactions on Image Processing
A Fast Iterative Shrinkage-Thresholding Algorithm for Linear Inverse Problems
SIAM Journal on Imaging Sciences
A Fast Iterative Shrinkage-Thresholding Algorithm for Linear Inverse Problems
SIAM Journal on Imaging Sciences
Full-resolution depth map estimation from an aliased plenoptic light field
ACCV'10 Proceedings of the 10th Asian conference on Computer vision - Volume Part II
Image registration for image-based rendering
IEEE Transactions on Image Processing
Reconstructing Dense Light Field From Array of Multifocus Images for Novel View Synthesis
IEEE Transactions on Image Processing
ACM Transactions on Graphics (TOG) - SIGGRAPH 2013 Conference Proceedings
PiCam: an ultra-thin high performance monolithic camera array
ACM Transactions on Graphics (TOG)
A Super-Resolution Framework for High-Accuracy Multiview Reconstruction
International Journal of Computer Vision
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We present a variational framework to generate super-resolved novel views from 4D light field data sampled at low resolution, for example by a plenoptic camera. In contrast to previous work, we formulate the problem of view synthesis as a continuous inverse problem, which allows us to correctly take into account foreshortening effects caused by scene geometry transformations. High-accuracy depth maps for the input views are locally estimated using epipolar plane image analysis, which yields floating point depth precision without the need for expensive matching cost minimization. The disparity maps are further improved by increasing angular resolution with synthesized intermediate views. Minimization of the super-resolution model energy is performed with state of the art convex optimization algorithms within seconds.