Author(s): Lu, BL (Lu, Baoli); He, Y (He, Yu); Wang, HN (Wang, Haining)

Source: DISPLAYS Volume: 69 Article Number: 102073 DOI: 10.1016/j.displa.2021.102073 Published: SEP 2021

Abstract: Three-dimensional reconstruction based on stereo vision technology is an important research direction in the field of computer vision, and has a wide range of applications in industrial measurement, medical image reconstruction, cultural relic preservation, robot navigation, virtual reality and other fields. However, the threedimensional reconstruction of moving objects usually has poor accuracy, low efficiency and poor visualization effect due to the image noise, motion blur, complex and time-consuming calculation etc. In this article, a disparity optimization method based on depth change constraint is proposed, which utilizes the correlation of the adjacent frames in the continuous video sequence to eliminate mismatches and correct the wrong disparity values by introducing a depth change constraint threshold. The experiments on the video images which are taken by a binocular stereo vision system demonstrate that our method of removing incorrect matches bears satisfactory results and it can greatly improve the effect of the three-dimensional reconstruction of the moving objects.

Accession Number: WOS:000697025400002

ISSN: 0141-9382

eISSN: 1872-7387

Full Text: https://www.sciencedirect.com/science/article/pii/S0141938221000780?via%3Dihub