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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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Nonlinearly Optimized Dual Stereo Visual Odometry Fusion
Visual odometry (VO) is an important problem studied in robotics and computer vision in which the relative camera motion is computed through visual...
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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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A Scheimpflug conditions-based binocular stereo vision system
A new binocular stereo vision system based on Scheimpflug conditions is introduced in our paper. Two typical structures are given to meet requirement...
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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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Stereo-PIV measurements within the canopy in open-channel flows
Measuring the flow field not just above but also inside the canopy of rough beds in open-channel flows is challenging when optical access from below...
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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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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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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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Multimodal Feature Association-based Stereo Visual SLAM Method
Much work has been done to improve visual SLAM systems by integrating point, line, and plane features into the bundle adjustment model, however...
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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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BDIS-SLAM: a lightweight CPU-based dense stereo SLAM for surgery
PurposeCommon dense stereo simultaneous localization and map** (SLAM) approaches in minimally invasive surgery (MIS) require high-end parallel...
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Stereo reconstruction from microscopic images for computer-assisted ophthalmic surgery
PurposeThis work presents a novel platform for stereo reconstruction in anterior segment ophthalmic surgery to enable enhanced scene understanding,...
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Joint stereo 3D object detection and implicit surface reconstruction
We present a new learning-based framework S-3D-RCNN that can recover accurate object orientation in SO(3) and simultaneously predict implicit rigid...
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Stereo matching of binocular laparoscopic images with improved densely connected neural architecture search
PurposeStereo matching is a crucial technology in the binocular laparoscopic-based surgical navigation systems. In recent years, neural networks 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...
