Stereo correspondence

Abstract

Stereo matching is the process of taking two or more images and estimating a 3D model of the scene by finding matching pixels in the images and converting their 2D positions into 3D depths. In Chapters 6-7, we described techniques for recovering camera positions and building sparse 3D models of scenes or objects. In this chapter, we address the question of how to build a more complete 3D model, e.g., a sparse or dense depth map that assigns relative depths to pixels in the input images. We also look at the topic of multi-view stereo algorithms that produce complete 3D volumetric or surface-based object models.