Multi-View Edge-based Stereo by Incorporating Spatial Coherence

A limitation of the state-of-art multi-view reconstruction algorithms is in their ability to handle scenes with very little texture or a lot of clutter. Texture-less scenes with clutter are traditionally difficult for dense multi-view stereo methods. Feature-based stereo algorithms, in particular, edgebased methods, are better suited for these scenes. The success of the edge-based reconstruction heavily depends on the amount of the prior information used. This paper introduces an algorithm that extends the well-known planesweep algorithm by incorporating spatial coherence of the scene. The method utilizes the geometric consistency derived from the continuity of three-dimensional edge points as a geometric constraint in addition to previously known multi-view image constraints. Experimental results on synthetic as well as real data are provided to demonstrate the efficacy and robustness of the proposed method.

• Type: Conference
• Year: 2007
• Where: 3DIM
• Authors: Gang Li, Yakup Genc, Steven W. Zucker
• Keywords: 3DIM 2007, Dense Multi-view Stereo, Feature-based Stereo Algorithms, Image Processing, State-of-art Multi-view Reconstruction