Depth map reconstruction of binocular vision optimized by WLS filtering
ZHOU Siqi
GUAN Zhiguang
YIN Shanshan
GUO Ziyi
LIN Mingxing
Abstract：To address the issue of discontinuities in the depth map of binocular vision three-dimensional reconstruction,a depth map optimization based on weighted least squares(WLS)filtering is proposed.A 3D depth map is established through binocular calibration,distortion correction,stereo rectification,and stereo matching.WLS filtering is applied.By adjusting the regularization term to modify the constraint conditions,constraints are reduced in regions with large gradients to preserve image edges,while smoothing is applied to regions with small gradients to remove noise.The image quality is evaluated using three parameters:peak signal-to-noise ratio(PSNR),structural similarity index(SSI),and mean absolute error(MAE).The evaluation results show that compared to the semi-global matching algorithm,this algorithm increases the PSNR by 1.849 dB,resulting in lower image distortion and higher quality.The SSI increases by 0.415 1,indicating stronger similarity to the original image structure.The MAE decreases by 21.542 2,leading to higher fidelity.The reconstructed depth map shows better visual effects,which improves the issue of discontinuities in stereo matching,reduces matching errors,and enhances the quality of the parallax map.
Keywords：WLS filteringbinocular vision3D reconstructiondepth mapstereo matching
Publication Date：2024-06-30
Online Publishing Date：2026-05-22(First online date of this platform, not the publication date of the document)
Pages：7( 139-145 )