Forward rectification: spatial image normalization for a video from a forward facing vehicle camera

Viktor Prun; Dmitri Polevoy; Vassiliy Postnikov

doi:10.1117/12.2268605

17 March 2017 Forward rectification: spatial image normalization for a video from a forward facing vehicle camera

Viktor Prun, Dmitri Polevoy, Vassiliy Postnikov

Proceedings Volume 10341, Ninth International Conference on Machine Vision (ICMV 2016); 103410W (2017) https://doi.org/10.1117/12.2268605
Event: Ninth International Conference on Machine Vision, 2016, Nice, France

Abstract

The work in this paper is focused around visual ADAS (Advanced Driver Assistance Systems). We introduce forward rectification – a technique for making computer vision algorithms more robust against camera mount point and mount angles. Using the technique can increase the quality of recognition as well as lower the dimensionality for algorithm invariance, making it possible to apply simpler affine-invariant algorithms for applications that require projective invariance. Providing useful results this rectification requires thorough calibration of the camera, which can be done automatically or semi-automatically. The technique is of general nature and can be applied to different algorithms, such as pattern matching detectors, convolutional neural networks. The applicability of the technique is demonstrated on HOG-based car detector detection rate.

Citation Download Citation

Viktor Prun, Dmitri Polevoy, and Vassiliy Postnikov "Forward rectification: spatial image normalization for a video from a forward facing vehicle camera", Proc. SPIE 10341, Ninth International Conference on Machine Vision (ICMV 2016), 103410W (17 March 2017); https://doi.org/10.1117/12.2268605

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