Method

NLCSM [NLCSM]


Submitted on 25 Jul. 2025 04:18 by
XiuCai Zhang (Jilin university)

Running time:0.9 s
Environment:1 core @ 2.5 Ghz (C/C++)

Method Description:
Our method mainly addresses the issue of objects
not being in the same row during the search
process due to the vibration of the dual-camera
system and changes in the camera's external
parameters. The construction of a stereo matching
cost based on dual-depth guidance was proposed for
the first time.
Parameters:
\alpha=0.2
Latex Bibtex:

Detailed Results

This page provides detailed results for the method(s) selected. For each of the first 20 test images, the number of erroneous pixels at all thresholds is depicted in the table. Underneath, the left input image, the disparity / end-point error map and the estimated (and interpolated) disparity / optical flow map are shown. The error map scales linearly between 0 (black) and >=5 (white) pixels error. Red denotes all occluded pixels, falling outside the image boundaries. The false color map is scaled to the largest ground truth disparity / flow value.

Test Set Average

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