Clustering-Based Match Propagation for Image-Based Rendering from Multiple Images (WP-L1)

Author(s) : Jian Yao (Department of Electronic Engineering, The Chinese University of Hong Kong, Hong Kong) Wai-Kuen Cham (Department of Electronic Engineering, The Chinese University of Hong Kong, Hong Kong)

Abstract : In this paper we propose a novel method for rendering a new view from multiple input images. A set of reliable pixel matches are initially selected and propagate these to neighboring pixels based on the piecewise smooth assumption in the spatial domain and the clustering-based photoconsistency constraint which is applied to handle pixel occlusion, partial pixel effects, or lighting effects between images. Experimental results on the generation of new images from new viewing positions from a set of input images show that our proposed algorithm is very promising and satisfactory.

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