Dec 30, 2017 · This paper proposed a novel refinement algorithm for stereo matching, permits us to obtain the high-quality and high-density disparity map of a ...
This optimization-based approach can effectively estimate the 3D label of each pixel from huge and infinite label space and then generate a continuous disparity ...
The traditional disparity refinement methods cannot get highly accurate disparity estimations, especially pixels around depth boundaries and within.
This paper proposes a method to refine the disparity in urban scenes based on open-source GIS data.
Oct 5, 2021 · Abstract. In stereo matching, occlusion disparity refinement is one of the challenges when attempting to improve disparity accuracy.
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The goal of stereo matching is to determine a disparity map that indicating the corresponding pixels in two views of a scene. The disparity map can be easily ...
Disparity refinement is the final step but also the timing bottleneck of stereo matching due to its high computational complexity.
Apr 25, 2024 · This paper introduces a novel approach called the Dual-Dimension Feature Modulation Network (DFMNet) for stereo matching, aiming to achieve high precision and ...
This paper presents a robust stereo matching method for occluded regions. First, we generate cost volumes using the CENSUS transform and the scale-invariant ...
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We propose a collaborative optimization scheme to coordinately refine the matched superpixels of the left and right images in an interactive manner, and ...
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