Super resolution of images of 3D scenecs

Authors:
Uma Mudenagudi;Ankit Gupta;Lakshya Goel;Avanish Kushal;Prem Kalra;Subhashis Banerjee
Affiliations:
Department of Computer Science and Engineering, IIT Delhi, New Delhi, India;Department of Computer Science and Engineering, IIT Delhi, New Delhi, India;Department of Computer Science and Engineering, IIT Delhi, New Delhi, India;Department of Computer Science and Engineering, IIT Delhi, New Delhi, India;Department of Computer Science and Engineering, IIT Delhi, New Delhi, India;Department of Computer Science and Engineering, IIT Delhi, New Delhi, India
Venue:
ACCV'07 Proceedings of the 8th Asian conference on Computer vision - Volume Part II
Year:
2007

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Abstract

We address the problem of super resolved generation of novel views of a 3D scene with the reference images obtained from cameras in general positions; a problem which has not been tackled before in the context of super resolution and is also of importance to the field of image based rendering. We formulate the problem as one of estimation of the color at each pixel in the high resolution novel view without explicit and accurate depth recovery. We employ a reconstruction based approach using MRF-MAP formalism and solve using graph cut optimization. We also give an effective method to handle occlusion. We present compelling results on real images.