[PDF][PDF] Local Stereo Matching Algorithm Using Modified Dynamic Cost Computation [J]

AF Kadmin, RA Hamzah, MN Abd Manap… - Institute Of Advanced …, 2021 - academia.edu
AF Kadmin, RA Hamzah, MN Abd Manap, MS Hamid, TFT Wook
Institute Of Advanced Engineering and Science (IAES), 2021academia.edu
Stereo matching is an essential subject in stereo vision architecture. Traditional framework
composition consists of several constraints in stereo correspondences such as illumination
variations in images and inadequate or non-uniform light due to uncontrollable
environments. This work improves the local method stereo matching algorithm based on the
dynamic cost computation method for depth measurement. This approach utilised modified
dynamic cost computation in the matching cost. A modified census transform with dynamic …
Stereo matching is an essential subject in stereo vision architecture. Traditional framework composition consists of several constraints in stereo correspondences such as illumination variations in images and inadequate or non-uniform light due to uncontrollable environments. This work improves the local method stereo matching algorithm based on the dynamic cost computation method for depth measurement. This approach utilised modified dynamic cost computation in the matching cost. A modified census transform with dynamic histogram is used to provide the cost in the cost computation. The algorithm applied the fixed-window strategy with bilateral filtering to retain image depth information and edge in the cost aggregation stage. A winner takes all (WTA) optimisation and left-right check with adaptive bilateral median filtering are employed for disparity refinement. Based on the Middlebury benchmark dataset, the algorithm developed in this work has better accuracy and outperformed several other state-of-the-art algorithms.
academia.edu
以上显示的是最相近的搜索结果。 查看全部搜索结果