Multipass hierarchical stereo matching for generation of digital terrain models from aerial images

Abstract. This paper presents a new multi-pass hierarchical stereo-matching approach for generation of digital terrain models (DTMs) from two overlapping aerial images. Our method consists of multiple passes which compute stereo matches with a coarse-to-fine and sparse-to-dense paradigm. An image pyramid is generated and used in the hierarchical stereo matching. Within each pass, the DTM is refined by using the image pyramid from the coarse to the fine level. At the coarsest level of the first pass, a global stereo-matching technique, the intra-/inter-scanline matching method, is used to generate a good initial DTM for the subsequent stereo matching. Thereafter, hierarchical block matching is applied to image locations where features are detected to refine the DTM incrementally. In the first pass, only the feature points near salient edge segments are considered in block matching. In the second pass, all the feature points are considered, and the DTM obtained from the first pass...

• Type: Journal
• Year: 1998
• Where: MVA
• Authors: Yi-Ping Hung, Chu-Song Chen, Kuan-Chung Hung, Yong-Sheng Chen, Chiou-Shann Fuh
• Keywords: Computer Vision, Image Pyramid, Images, MVA 1998, first Pass