2019
DOI: 10.1109/access.2019.2921395
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A Stereo Matching and Depth Map Acquisition Algorithm Based on Deep Learning and Improved Winner Takes All-Dynamic Programming

Abstract: The stereo matching technology has been widely used nowadays for robot guidance, depth of field rendering, and video processing applications. The binocular stereo matching technology collects two images of the same scene from different views, computes the disparity, and then determines the 3-D depth of the object using the triangulation theory. In this paper, we propose a new deep-learning-based stereo matching algorithm called convolutional neural network WTADP (CNN-WTADP). The commonly used WTA method ignore… Show more

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Cited by 2 publications
(1 citation statement)
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“…The problem with the low texture region is also mentioned by [13], affecting the similarity measurement. Other researchers [26]- [28] also stated that the low texture region is one of the challenging areas to cater to in stereo matching methods. So, in the 225 following section of this paper, we will present our proposed stereo matching algorithm.…”
Section: Figure 1 Stereo Vision Algorithm Stepsmentioning
confidence: 99%
“…The problem with the low texture region is also mentioned by [13], affecting the similarity measurement. Other researchers [26]- [28] also stated that the low texture region is one of the challenging areas to cater to in stereo matching methods. So, in the 225 following section of this paper, we will present our proposed stereo matching algorithm.…”
Section: Figure 1 Stereo Vision Algorithm Stepsmentioning
confidence: 99%