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Stereo-RSSF: stereo robust sparse scene-flow estimation
Scene-flow (SF) estimation is considered to be one of the most fundamental problems in scene understanding and autonomous control. The majority of...
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Supervised biadjacency networks for stereo matching
Convolutional neural network (CNN) based stereo matching methods using cost volume techniques have gained prominence in stereo matching....
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Exploring the Usage of Pre-trained Features for Stereo Matching
For many vision tasks, utilizing pre-trained features results in improved performance and consistently benefits from the rapid advancement of...
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Research and implementation of adaptive stereo matching algorithm based on ZYNQ
Stereo matching is an important method in computer vision for simulating human binocular vision to acquire spatial distance information. Implementing...
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Research on GDR Obstacle Detection Method Based on Stereo Vision
Abstract —In this paper, we propose a method of obstacle detection for guide dog robots based on stereo vision. Theoretically, we analyze the lens...
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SEVAR: a stereo event camera dataset for virtual and augmented reality
In this paper, we present a precisely synchronized event-based dataset, designed especially for multi-sensor fusion in SLAM applications, with a...
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PM-MVS: PatchMatch multi-view stereo
PatchMatch Stereo is a method for generating a depth map from stereo images by repeating spatial propagation and view propagation. The concept of...
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Single-View View Synthesis with Self-rectified Pseudo-Stereo
Synthesizing novel views from a single view image is a highly ill-posed problem. We discover an effective solution to reduce the learning ambiguity...
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An improved binocular stereo matching algorithm based on AANet
Stereo matching is an important part of establishing stereo vision. Parallax information obtained by stereo matching directly affects the...
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GPDF-Net: geometric prior-guided stereo matching with disparity fusion refinement
Stereo matching is a popular topic in the image processing and computer vision fields. Although deep learning-based stereo matching approaches have...
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Guided aggregation and disparity refinement for real-time stereo matching
Stereo matching methods based on convolution neural network (CNN) often face challenges such as edge blurring and the loss of small structures. These...
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Structured support vector machine with coarse-to-fine PatchMatch filtering for stereo matching
In the past decades, a variety of learning-based algorithms have been emerged to try to explore a better solution for stereo matching by leveraging...
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Multi-orientation depthwise extraction for stereo image super-resolution
The increasing trend of binocular imaging in recent years has sparked a surge of interest in stereo image super-resolution. While considerable...
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Binocular Stereo Vision
The human visual system is a natural stereoscopic vision system that acquires 3-D information through binocular imaging. In computer vision, stereo...
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Few-Shot Stereo Matching with High Domain Adaptability Based on Adaptive Recursive Network
Deep learning based stereo matching algorithms have been extensively researched in areas such as robot vision and autonomous driving due to their...
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A digital speckle stereo matching algorithm based on epipolar line correction
When the digital speckle correlation method captures images under certain working conditions, the extreme tilt of the camera leads to a weak...
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CT-MVSNet: Curvature-guided multi-view stereo with transformers
Multi-view stereo (MVS) can fulfill dense three-dimensional reconstruction from a collection of multi-view images. Although deep learning-based MVS...
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Finite Aperture Stereo
Multi-view stereo remains a popular choice when recovering 3D geometry, despite performance varying dramatically according to the scene content....
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Recurrent convolutional model based on gated spiking neural P system for stereo matching networks
The rapid development of deep learning techniques has introduced extensive research improvements to various aspects in the processing pipeline of the...
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Multi-view Stereo Reconstruction
This chapter discusses the problem of multi-view stereo reconstruction, which is the process of recovering the surface of an object from many images....