{"id":155013,"date":"2020-02-20T11:35:30","date_gmt":"2006-06-01T00:00:00","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/msr-research-item\/a-comparison-and-evaluation-of-multi-view-stereo-reconstruction-algorithms\/"},"modified":"2020-11-03T18:27:22","modified_gmt":"2020-11-04T02:27:22","slug":"a-comparison-and-evaluation-of-multi-view-stereo-reconstruction-algorithms","status":"publish","type":"msr-research-item","link":"https:\/\/www.microsoft.com\/en-us\/research\/publication\/a-comparison-and-evaluation-of-multi-view-stereo-reconstruction-algorithms\/","title":{"rendered":"A Comparison and Evaluation of Multi-View Stereo Reconstruction Algorithms"},"content":{"rendered":"<div class=\"asset-content\">\n<p>This paper presents a quantitative comparison of several multi-view stereo reconstruction algorithms. Until now, the lack of suitable calibrated multi-view image datasets with known ground truth (3D shape models) has prevented such direct comparisons. In this paper, we first survey multi-view stereo algorithms and compare them qualitatively using a taxonomy that differentiates their key properties. We then describe our process for acquiring and calibrating multiview image datasets with high-accuracy ground truth and introduce our evaluation methodology. Finally, we present the results of our quantitative comparison of state-of-the-art multi-view stereo reconstruction algorithms on six benchmark datasets. The datasets, evaluation details, and instructions for submitting new models are available online at http:\/\/vision.middlebury.edu\/mview.<\/p>\n<\/div>\n<p><!-- .asset-content --><\/p>\n","protected":false},"excerpt":{"rendered":"<p>This paper presents a quantitative comparison of several multi-view stereo reconstruction algorithms. Until now, the lack of suitable calibrated multi-view image datasets with known ground truth (3D shape models) has prevented such direct comparisons. In this paper, we first survey multi-view stereo algorithms and compare them qualitatively using a taxonomy that differentiates their key properties. 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Internal or personal use of this material is permitted.  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