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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 binocular stereo visual servo system for bird repellent in substations
Bird damage has become one of the main threats to the safety of substations, and the accidents (short circuit, grounding failure and insulation...
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Real-time stereo matching with high accuracy via Spatial Attention-Guided Upsampling
Deep learning-based stereo matching methods have made remarkable progress in recent years. However, it is still a challenging task to achieve high...
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Sliding space-disparity transformer for stereo matching
Transformers have achieved impressive performance in natural language processing and computer vision, including text translation, semantic...
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Multi-distribution fitting for multi-view stereo
We propose a multi-view stereo network based on multi-distribution fitting (MDF-Net), which achieves high-resolution depth map prediction with low...
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Multi-view stereo network with point attention
In recent years, learning-based multi-view stereo (MVS) reconstruction has gained superiority when compared with traditional methods. In this paper,...
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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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Robust stereo inertial odometry based on self-supervised feature points
In the application of intelligent mobile robots, the odometry is the key system for implementing positioning. Traditional feature extraction...
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SA-Net: Scene-Aware Network for Cross-domain Stereo Matching
Although the recent stereo matching methods based on deep learning achieve unprecedented state-of-the-art performance, the accuracy of these...
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Beyond Monocular Deraining: Parallel Stereo Deraining Network Via Semantic Prior
Rain is a common natural phenomenon. Taking images in the rain however often results in degraded quality of images, thus compromises the performance...
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Deep Stereo Matching with Superpixel Based Feature and Cost
Previous stereo methods achieved state-of-the-art performances but are still difficult to handle the well-known edge-fattening issue at depth...
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Enhanced feature pyramid for multi-view stereo with adaptive correlation cost volume
AbstractMulti-level features are commonly employed in the cascade network, which is currently the dominant framework in multi-view stereo (MVS)....
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Integration of stereo vision system calibration and kinematic calibration for an autonomous kiwifruit harvesting system
Stereo vision system and manipulator are two major components of an autonomous fruit harvesting system. In order to raise the fruit-harvesting rate,...
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Multiple-image encryption algorithm based on 3D-LWT and dynamic stereo S-box
Digital image is transmitted more and more frequently through the network. To protect the security of batch images in an open network, a...
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NormAttention-PSN: A High-frequency Region Enhanced Photometric Stereo Network with Normalized Attention
Photometric stereo aims to recover the surface normals of a 3D object from various shading cues, establishing the relationship between...
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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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Human Detection and Its Distance Measurement in Agricultural Fields by Stereo Image Processing
Having an alarm system to detect human can reduce risk of accidents and human injuries in agricultural environments. The purpose of this study was to...
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A CNN Based Approach for the Point-Light Photometric Stereo Problem
Reconstructing the 3D shape of an object using several images under different light sources is a very challenging task, especially when realistic...
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DAR-MVSNet: a novel dual attention residual network for multi-view stereo
Learning-based multi-view stereo (MVS) has shown great promise in the field of 3D reconstruction. However, existing MVS methods suffer from fixed...
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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...
