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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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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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A novel data-driven algorithm for object detection, tracking, distance estimation, and size measurement in stereo vision systems
Distance and size estimation of objects of interests is an inevitable task for many navigation and obstacle avoidance algorithms mainly used in...
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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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Underwater Multiview Stereo Using Axial Camera Models
3D models, generated from underwater imagery, are a valuable asset for many applications. When acquiring images underwater, light is refracted as it...
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Multi-view stereo-regulated NeRF for urban scene novel view synthesis
Neural radiance fields (NeRF), which encode a scene into a neural representation, have demonstrated impressive novel view synthesis quality on single...
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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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Three-dimensional face point cloud hole-filling algorithm based on binocular stereo matching and a B-spline
When obtaining three-dimensional (3D) face point cloud data based on structured light, factors related to the environment, occlusion, and...
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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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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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Optimization for image stereo-matching using deep reinforcement learning in rule constraints and parallax estimation
Stereo-matching is a hot topic in the field of visual image research, to address the low image-matching accuracy of traditional algorithms. In this...
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A new stereo matching energy model based on image local features
This paper constructs an energy model based on local features used in stereo matching. The local features include the similarity between different...
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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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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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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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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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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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OmniGlasses: an optical aid for stereo vision CNNs to enable omnidirectional image processing
Stereo vision is a key technology for 3D scene reconstruction from image pairs. Most approaches process perspective images from commodity cameras....
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Cross-based dense depth estimation by fusing stereo vision with measured sparse depth
Dense depth estimation is significant in robotic systems, such as for map**, localization, and object recognition. For multiple sensors, an active...
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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....
