Silhouette-Aware Warping for Image-Based Rendering
Image‐based rendering (IBR) techniques allow capture and display of 3D environments using photographs. Modern IBR pipelines reconstruct proxy geometry using multi‐view stereo, reproject the photographs onto the proxy and blend them to create novel views. The success of these methods depends on accur...
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| Vydáno v: | Computer graphics forum Ročník 30; číslo 4; s. 1223 - 1232 |
|---|---|
| Hlavní autoři: | , , |
| Médium: | Journal Article |
| Jazyk: | angličtina |
| Vydáno: |
Oxford, UK
Blackwell Publishing Ltd
01.06.2011
Wiley |
| Edice: | Proceedings of the Eurographics Symposium on Rendering |
| Témata: | |
| ISSN: | 0167-7055, 1467-8659 |
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| Abstract | Image‐based rendering (IBR) techniques allow capture and display of 3D environments using photographs. Modern IBR pipelines reconstruct proxy geometry using multi‐view stereo, reproject the photographs onto the proxy and blend them to create novel views. The success of these methods depends on accurate 3D proxies, which are difficult to obtain for complex objects such as trees and cars. Large number of input images do not improve reconstruction proportionally; surface extraction is challenging even from dense range scans for scenes containing such objects. Our approach does not depend on dense accurate geometric reconstruction; instead we compensate for sparse 3D information by variational image warping. In particular, we formulate silhouette‐aware warps that preserve salient depth discontinuities. This improves the rendering of difficult foreground objects, even when deviating from view interpolation. We use a semi‐automatic step to identify depth discontinuities and extract a sparse set of depth constraints used to guide the warp. Our framework is lightweight and results in good quality IBR for previously challenging environments. |
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| AbstractList | Image-based rendering (IBR) techniques allow capture and display of 3D environments using photographs. Modern IBR pipelines reconstruct proxy geometry using multi-view stereo, reproject the photographs onto the proxy and blend them to create novel views. The success of these methods depends on accurate 3D proxies, which are difficult to obtain for complex objects such as trees and cars. Large number of input images do not improve reconstruction proportionally; surface extraction is challenging even from dense range scans for scenes containing such objects. Our approach does not depend on dense accurate geometric reconstruction; instead we compensate for sparse 3D information by variational image warping. In particular, we formulate silhouette-aware warps that preserve salient depth discontinuities. This improves the rendering of difficult foreground objects, even when deviating from view interpolation. We use a semi-automatic step to identify depth discontinuities and extract a sparse set of depth constraints used to guide the warp. Our framework is lightweight and results in good quality IBR for previously challenging environments. Abstract Image-based rendering (IBR) techniques allow capture and display of 3D environments using photographs. Modern IBR pipelines reconstruct proxy geometry using multi-view stereo, reproject the photographs onto the proxy and blend them to create novel views. The success of these methods depends on accurate 3D proxies, which are difficult to obtain for complex objects such as trees and cars. Large number of input images do not improve reconstruction proportionally; surface extraction is challenging even from dense range scans for scenes containing such objects. Our approach does not depend on dense accurate geometric reconstruction; instead we compensate for sparse 3D information by variational image warping. In particular, we formulate silhouette-aware warps that preserve salient depth discontinuities. This improves the rendering of difficult foreground objects, even when deviating from view interpolation. We use a semi-automatic step to identify depth discontinuities and extract a sparse set of depth constraints used to guide the warp. Our framework is lightweight and results in good quality IBR for previously challenging environments. [PUBLICATION ABSTRACT |
| Author | Chaurasia, Gaurav Drettakis, George Sorkine, Olga |
| Author_xml | – sequence: 1 givenname: Gaurav surname: Chaurasia fullname: Chaurasia, Gaurav organization: REVES/INRIA Sophia Antipolis, France – sequence: 2 givenname: Olga surname: Sorkine fullname: Sorkine, Olga organization: ETH Zurich, Switzerland – sequence: 3 givenname: George surname: Drettakis fullname: Drettakis, George organization: REVES/INRIA Sophia Antipolis, France |
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| References_xml | – reference: Furukawa Y., Ponce J.: Accurate, dense, and robust multi-view stereopsis. IEEE Trans. Pattern Anal. Mach. Intell. 32, 8 (2009), 1362-1376. – reference: Lhuillier M., Quan L.: Image interpolation by joint view triangulation. In Proc. CVPR (1999), vol. 2. – reference: Carroll R., Agarwala A., Agrawala M.: Image warps for artistic perspective manipulation. ACM Tram. Graph. 29 (July 2010), 127:1-127:9. – reference: Liu F., Gleicher M., Jin H., Agarwala A.: Content-preserving warps for 3D video stabilization. ACM Trans. Graph. 28 (2009), 44:1-44:9. – reference: Mahaian D., Huang F.-C, Matusik W., Ramamoorthi R., Belhumeur P.: Moving gradients: A path-based method for plausible image interpolation. ACM Trans. Graph. 28, 3 (2009). – reference: Lang M., Hornung A., Wang O., Poulakos S., Smolic A., Gross M.: Nonlinear disparity mapping for stereoscopic 3D. ACM Trans. Graph. 29, 3 (2010). – reference: Teh C.-H., Chin R.: On the detection of dominant points on digital curves. IEEE Tram. Pattern Anal. Mach. Intell. 11, 8 (Aug. 1989). – reference: Snavely N., Seitz S. M., Szeliski R.: Photo tourism: exploring photo collections in 3D. ACM Tram. Graph. 25, 3 (2006), 835-846. – reference: Toledo S.: Taucs: A Library of Sparse Linear Solvers, version 2.2. Tel-Aviv University, Available online at http://www.tau.ac.il/~stoledo/taucs/, 2003. – reference: Douglas D., Peucker T.: Algorithms for the reduction of the number of points required to represent a digitized line or its caricature. The Canadian Cartographer 10, 2 (1972). – reference: Hornung A., Kobbelt L.: Interactive pixel-accurate free viewpoint rendering from images with silhouette aware sampling. Comput. Graph. Forum 28, 8 (2009), 2090-2103. – reference: Eisemann M., Decker B. D., Magnor M., Bekaert P., De Aguiar E., Ahmed N., Theobalt C., Sellent A.: Floating Textures. Comput. Graph. Forum (Proc. Eurographics) 27, 2 (April 2008), 409-418. – reference: Lipski C., Linz C., Berger K., Sellent A., Magnor M.: Virtual video camera: Image-based viewpoint navigation through space and time. Computer Graphics Forum 29, 8 (2010), 2555-2568. – reference: Zhang G.-X., Cheng M.-M., Hu S.-M., Martin R. R.: A shape-preserving approach to image resizing. Comput. Graph. Forum 28, 7 (2009), 1897-1906. – reference: Stein A. N., Hebert M.: Occlusion boundaries from motion: Low-level detection and mid-level reasoning. Int. J. Comput. Vision 82 (May 2009), 325-357. – reference: Goesele M., Ackermann J., Fuhrmann S., Haubold C., Klowsky R., Darmstadt T.: Ambient point clouds for view interpolation. ACM Tram. Graph. 29 (July 2010), 95:1-95:6. – reference: Wang Y.-S., Lin H.-C, Sorkine O., Lee T.-Y: Motion-based video retargeting with optimized crop-and-warp. ACM Trans. Graph. 29, 4 (2010), article no. 90. – reference: Seitz S. 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| Snippet | Image‐based rendering (IBR) techniques allow capture and display of 3D environments using photographs. Modern IBR pipelines reconstruct proxy geometry using... Abstract Image-based rendering (IBR) techniques allow capture and display of 3D environments using photographs. Modern IBR pipelines reconstruct proxy geometry... Image-based rendering (IBR) techniques allow capture and display of 3D environments using photographs. Modern IBR pipelines reconstruct proxy geometry using... |
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| SubjectTerms | Computer graphics Computer Graphics [1.3.3]: Picture/Image Generation-Display algorithms Computer Science Discontinuity Graphics Image coding Proxy client servers Reconstruction Rendering Studies Three dimensional Warp |
| Title | Silhouette-Aware Warping for Image-Based Rendering |
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