Problem-oriented stereo vision quality evaluation complex

D. Sidorchuk; N. Gusamutdinova; I. Konovalenko; E. Ershov

doi:10.1117/12.2228812

8 December 2015 Problem-oriented stereo vision quality evaluation complex

D. Sidorchuk, N. Gusamutdinova, I. Konovalenko, E. Ershov

Proceedings Volume 9875, Eighth International Conference on Machine Vision (ICMV 2015); 98751K (2015) https://doi.org/10.1117/12.2228812
Event: Eighth International Conference on Machine Vision, 2015, Barcelona, Spain

Abstract

We describe an original low cost hardware setting for efficient testing of stereo vision algorithms. The method uses a combination of a special hardware setup and mathematical model and is easy to construct, precise in applications of our interest. For a known scene we derive its analytical representation, called virtual scene. Using a four point correspondence between the scene and virtual one we compute extrinsic camera parameters, and project virtual scene on the image plane, which is the ground truth for depth map. Another result, presented in this paper, is a new depth map quality metric. Its main purpose is to tune stereo algorithms for particular problem, e.g. obstacle avoidance.

Citation Download Citation

D. Sidorchuk, N. Gusamutdinova, I. Konovalenko, and E. Ershov "Problem-oriented stereo vision quality evaluation complex", Proc. SPIE 9875, Eighth International Conference on Machine Vision (ICMV 2015), 98751K (8 December 2015); https://doi.org/10.1117/12.2228812

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