H
Heiko Hirschmüller
Researcher at German Aerospace Center
Publications - 62
Citations - 10764
Heiko Hirschmüller is an academic researcher from German Aerospace Center. The author has contributed to research in topics: Pixel & Stereo camera. The author has an hindex of 29, co-authored 62 publications receiving 9356 citations. Previous affiliations of Heiko Hirschmüller include De Montfort University.
Papers
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Journal ArticleDOI
Stereo Processing by Semiglobal Matching and Mutual Information
TL;DR: This paper describes the Semi-Global Matching (SGM) stereo method, which uses a pixelwise, Mutual Information based matching cost for compensating radiometric differences of input images and demonstrates a tolerance against a wide range of radiometric transformations.
Proceedings ArticleDOI
Accurate and efficient stereo processing by semi-global matching and mutual information
TL;DR: The objectives of accurate stereo matching, especially at object boundaries, robustness against recording or illumination changes and efficiency of the calculation are considered, which lead to the proposed semi-global matching method that performs pixelwise matching based on mutual information and the approximation of a global smoothness constraint.
Proceedings ArticleDOI
Evaluation of Cost Functions for Stereo Matching
TL;DR: This paper evaluates the insensitivity of different matching costs with respect to radiometric variations of the input images with a local, a semi-global, and a global stereo method.
Book ChapterDOI
High-Resolution Stereo Datasets with Subpixel-Accurate Ground Truth
Daniel Scharstein,Heiko Hirschmüller,York Kitajima,Greg Krathwohl,Nera Nešić,Xi Wang,Porter Westling +6 more
TL;DR: A structured lighting system for creating high-resolution stereo datasets of static indoor scenes with highly accurate ground-truth disparities using novel techniques for efficient 2D subpixel correspondence search and self-calibration of cameras and projectors with modeling of lens distortion is presented.
Journal ArticleDOI
Evaluation of Stereo Matching Costs on Images with Radiometric Differences
TL;DR: Among the best costs are BilSub, which performs consistently very well for low radiometric differences; HMI, which is slightly better as pixelwise matching cost in some cases and for strong image noise; and Census, which showed the best and most robust overall performance.