Recently, digital stereo microscopes have been becoming increasingly popular in fields such as biomedicine and biotechnology. As such, being able to precisely match left/right feature pairs is critical, which is an important step in stereo matching. We hereby propose a dynamic interpolation method that combines two dimensional calibration and depth information to achieve stereo matching. In thi...

Stereo matching is one of the key technologies in stereo vision system due to its ultra high data bandwidth requirement, heavy memory accessing and algorithm complexity. To speed up stereo matching, various algorithms are implemented by different software and hardware processing methods. This paper presents a survey of stereo matching software and hardware implementation research status based o...

Abstract. Recent advancement in hardware and software provides the possibility of realizing full automation stereo-image tasks. This paper investigated disparity map generation from aerial images with different methods: unsupervised method supervised methods. The datasets were stereo dense matching benchmark dataset for deep learning ISPRS 2021: Vaihingen WHU MVS/Stereo Dataset released CVPR 20...

Real world scenes that contain high dynamic range illumination present a special challenge for stereo matching algorithms due to a lack of texture in overor under-exposed image regions. In this paper, we discuss possibilities for combining state-of-the-art stereo matching algorithms with High Dynamic Range (HDR) imaging techniques, in order to exploit a set of multi-exposed input images of both...

In this paper, we propose an adaptive stereo matching algorithm to encompassing stereo matching problems in projective distortion region. Since the projective distortion region can not be estimated in terms of fixed-size block matching algorithm, we tried to use adaptive window warping method in hierarchical matching process to compensate the perspective distortions. In addition, probability th...

Conventional stereo matching methods provide the unsatisfactory results for stereo pairs under uncontrolled environments such as illumination distortions and camera device changes. A majority of efforts to address this problem has devoted to develop robust cost function. However, the stereo matching results by cost function cannot be liberated from a false correspondence when radiometric distor...

Abstract In mountain tunnels’ mechanical and electrical engineering, it is necessary to carry out cable distribution plates. To ensure the accuracy of plate, essential measure distance between box hole tunnel mouth size hole. Stereo matching a crucial step in using binocular vision for measurement, quality effect directly affects measurement following steps. This study focuses on studies stereo...

In stereo vision, an omnidirectional camera has high distortion compared to a standard camera, so the calibration is very decisive in its matching. this study, we will perform matching for with vertical and horizontal configuration that result of image's depth 360-degree field view by transforming image using calibration-based method. The configuration, can be matched directly, but configuring ...

This paper presents a novel approach to the problem of computing the matching-cost for stereo vision. The approach is based upon a Convolutional Neural Network that is used to compute the similarity of input patches from stereo image pairs. In combination with state-ofthe-art stereo pipeline steps, the method achieves top results in major stereo benchmarks. The paper introduces the problem of s...

Stereo matching is one of the most active research areas in computer vision. While a large number of algorithms for stereo correspondence have been developed, research in some branches of the field has been constrained due to the few number of stereo datasets with ground truth disparity maps available. Having available a large dataset of stereo images with ground truth disparity maps would boos...