Depth image-based rendering with low resolution depth

Authors:
Quang H. Nguyen;Minh N. Do;Sanjay J. Patel
Affiliations:
Coordinated Science Laboratory, Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, Urbana, IL;Coordinated Science Laboratory, Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, Urbana, IL;Coordinated Science Laboratory, Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, Urbana, IL
Venue:
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Year:
2009

Citing 3
Cited 1

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Abstract

This paper proposes a new approach for depth image-based rendering (DIBR) with low resolution depth using the 3D propagation algorithm. Our novel depth edge enhancement method ef ciently corrects and sharpens the depth edges in the propagated depth image using available high resolution color information. Experimental results show that only with 4% depth information kept for low resolution depth image, the proposed method can provide comparable rendering quality to that of the high resolution case. Furthermore, the proposed work is developed to match the ne-grain parallelism of general-purpose graphics processing units (GPGPUs) and hence can be accelerated to nearly real-time operations in low cost DIBR systems.