Title :
Depth image-based rendering with low resolution depth
Author :
Nguyen, Quang H. ; Do, Minh N. ; Patel, Sanjay J.
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Illinois at Urbana-Champaign, Urbana, IL, USA
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 efficiently 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 fine-grain parallelism of general-purpose graphics processing units (GPGPUs) and hence can be accelerated to nearly real-time operations in low cost DIBR systems.
Keywords :
image colour analysis; image enhancement; image resolution; rendering (computer graphics); 3D propagation algorithm; depth edge enhancement method; depth image-based rendering; fine-grain parallelism; general-purpose graphics processing units; high resolution color information; low resolution depth; Cameras; Color; Costs; Graphics; Image resolution; Interpolation; Layout; Parallel processing; Real time systems; Rendering (computer graphics); Depth image-based rendering; depth image enhancement; parallelism;
Conference_Titel :
Image Processing (ICIP), 2009 16th IEEE International Conference on
Conference_Location :
Cairo
Print_ISBN :
978-1-4244-5653-6
Electronic_ISBN :
1522-4880
DOI :
10.1109/ICIP.2009.5413896