Silhouette-Aware Warping for Image-Based Rendering - Supplementary material

A comparison between different segmentation algorithms and manual silhouettes annotation is shown in Fig. 1. All results have been generated using code provided by the authors. The first row shows one of the input images of our datasets. Second row shows silhouettes annotated manually which have been used to generate the image-based rendering results presented in the paper. The third row shows the final result of occlusion boundary extraction from single image by Hoiem et al. [HSEH07]. The fourth and fifth rows show the soft and binary edge maps using a combination of Arbelaez [Arb06] and Maire et al. [MAFM08] called gPbucm algortihm. The last row shows hierarchical segmentation [AMFM11] using results from the fifth row.

[1]  David H. Douglas,et al.  ALGORITHMS FOR THE REDUCTION OF THE NUMBER OF POINTS REQUIRED TO REPRESENT A DIGITIZED LINE OR ITS CARICATURE , 1973 .

[2]  Jitendra Malik,et al.  Using contours to detect and localize junctions in natural images , 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.

[3]  Charless C. Fowlkes,et al.  Contour Detection and Hierarchical Image Segmentation , 2011, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[4]  Lattre de Tassigny Boundary Extraction in Natural Images Using Ultrametric Contour Maps , 2006 .

[5]  Roland T. Chin,et al.  On the Detection of Dominant Points on Digital Curves , 1989, IEEE Trans. Pattern Anal. Mach. Intell..

[6]  A. Aydin Alatan,et al.  Efficient graph-based image segmentation via speeded-up turbo pixels , 2010, 2010 IEEE International Conference on Image Processing.

[7]  Alexei A. Efros,et al.  Recovering Occlusion Boundaries from a Single Image , 2007, 2007 IEEE 11th International Conference on Computer Vision.

[8]  Daniel P. Huttenlocher,et al.  Efficient Graph-Based Image Segmentation , 2004, International Journal of Computer Vision.