SD&A 2020: Objective and subjective evaluation of a multi-stereo 3D reconstruction

Описание: This presentation was delivered at the 31st annual Stereoscopic Displays and Applications conference (27-29 January 2020) held in Burlingame, CA USA. For more information see: http://stereoscopic.org

Title: Objective and subjective evaluation of a multi-stereo 3D reconstruction system (SD&A 138)

Speaker: Christian Kapeller, Austrian Institute of Technology and Vienna University of Technology (Austria)

Abstract: In recent years, 3D reconstruction systems comprising multiple depth sensors have received increasing interest for dynamic scene reconstruction and related applications. Publicly available ground truth data are of limited usefulness when dealing with quality assessment of self-recorded data delivered by customized stereo configurations. In this paper, we propose a framework that incorporates versatile strategies for quantitative and qualitative evaluation of a multi-stereo reconstruction system and its intermediate products. Besides the design of suitable calibration objects for quantitative measurements, the framework exploits multi-view data redundancy and generated novel views for objective quality assessment and to obtain subjective ratings from users. We demonstrate the applicability of our evaluation system in experiments with several stereo matching algorithms and view fusion approaches along with a pair-comparison based user study. We believe that our proposed evaluation framework is beneficial for the assessment of 3D products derived from self-recorded dynamic data of comparable set-ups, for example, in the context of subsequent augmented reality applications.

Biography: Christian Kapeller received his master's degree in computer science from the Vienna University of Technology (2018). Since then he has worked at the High Performance Vision Department of AIT GmbH, Vienna as junior scientist, as well as the Institute of Visual Computing & Human-Centered Technology at the Vienna University of Technology. His main research areas are computational imaging and 3D reconstruction.

© 2020, Society for Imaging Science and Technology (IS&T)