An Improved Filtering for Fast Stereo Matching

Abstract

This paper presents a novel full-image guided filtering based on eight-connected weight propagation for dense stereo matching. The proposed method has three main features: first, the proposed eight-connected weight propagation is more approximate compared to previous approach; second, the pixels employed into the filtering are all the pixels without constrained by one fixed window; last but not least, computational complexity of each pixel at each disparity level is O(1), and the implementation of the filter can efficiently parallelized on hardware platform. Performance evaluation on Middlebury data sets shows that the proposed method is one of the best local algorithms in terms of both accuracy and speed.

Review on Stereo Vision Based Depth Estimation

“…Cost accumulation is a significant advance in sound system coordinating [1]. Most total capacities can be generally grouped into windows-based technique [5,6], channel based strategy [9] and fragment tree-based strategy [7,8,11] Recently, full picture bolster based cost collection strategies [7] have increased significant consideration because of their high exactness and low computational unpredictability. Calculation in [11]…”

“…The work in [9] presents an improved channel for The work in [11] presents a portion based sound system coordinating framework. To begin with, the reference picture is deteriorated into homogenous districts utilizing mean-move shading division.…”