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Real-Time Semantic Segmentation-Based Stereo Reconstruction
2019
IEEE transactions on intelligent transportation systems (Print)
In this paper, we propose a novel semantic segmentation-based stereo reconstruction method that can keep up with the accuracy of the state-of-the art approaches while running in real time. The solution follows the classic stereo pipeline, each step in the stereo workflow being enhanced by additional information from semantic segmentation. Therefore, we introduce several improvements to computation, aggregation, and optimization by adapting existing techniques to integrate additional surface
doi:10.1109/tits.2019.2913883
fatcat:jl2t5lit2nfmnfilv6lrbwz4pi