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VI-NeRF-SLAM: a real-time visual–inertial SLAM with NeRF map**
In numerous robotic and autonomous driving tasks, traditional visual SLAM algorithms estimate the camera’s position in a scene through sparse feature...
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EMTNet: efficient mobile transformer network for real-time monocular depth estimation
Estimating depth from a single image presents a formidable challenge due to the inherently ill-posed and ambiguous nature of deriving depth...
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Real Time Video Stitching Using Fixed Camera Configuration
Video stitching is crucial in multi-camera-based systems that provide 360-degree surveillance and monitoring applications. Homography estimation is...
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PBCStereo: A Compressed Stereo Network with Pure Binary Convolutional Operations
Although end-to-end stereo matching networks achieve great performance for disparity estimation, most of them require far too many floating-point...
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PCW-Net: Pyramid Combination and War** Cost Volume for Stereo Matching
Existing deep learning based stereo matching methods either focus on achieving optimal performances on the target dataset while with poor...
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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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Realtime Object Distance Measurement Using Stereo Vision Image Processing
In recent years, great progress has been made on 2D and 3D image understanding tasks, such as object detection and instance segmentation. The recent...
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High-recall calibration monitoring for stereo cameras
Cameras are the prevalent sensors used for perception in autonomous robotic systems, but their initial calibration may degrade over time due to...
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Generalized Matching
Matching can be understood as a technique or process of combining various representations and knowledge to interpret a scene. This chapter focuses on...
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Improved Stereo Matching Algorithm Based on Adaptive Grid for Fixed-Wing UAVs
Modern unmanned aerial vehicles (UAVs) rely on binocular ranging modules to complete tasks such as obstacle avoidance, 3D reconstruction, and...
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GHA-Inst: a real-time instance segmentation model utilizing YOLO detection framework
The real-time instance segmentation task based on deep learning aims to accurately identify and distinguish all instance objects from images or...
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Embedded 3D reconstruction of dynamic objects in real time for maritime situational awareness pictures
Assessing the security status of maritime infrastructures is a key factor for maritime safety and security. Facilities such as ports and harbors are...
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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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The analysis of Iris image acquisition and real-time detection system using convolutional neural network
The purpose is to explore the effect of iris image acquisition and real-time detection systems based on Convolutional Neural Network (CNN) and...
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SGNet: Semantics Guided Deep Stereo Matching
Stereovision has been an intensive research area of computer vision. Based on deep learning, stereo matching networks are becoming popular in recent...
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InStereo2K: a large real dataset for stereo matching in indoor scenes
Deep neural networks have shown great success in stereo matching in recent years. On the KITTI datasets, most top performing methods are based on...
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A Light-Weight Stereo Matching Network with Color Guidance Refinement
Deep-learning-based stereo matching methods have achieved significant improvement over traditional methods and obtained great successes in recent...
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MAIM: a mixer MLP architecture for image matching
Recent advances in multilayer perceptron (MLP) models have provided new effective network architecture designs for computer vision tasks. Compared...
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A deep feature matching pipeline with triple search strategy
Local feature matching between images is a challenging task, and current research focuses on pursuing higher accuracy matching results at the cost of...
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Variable Photo-Model Stereo Vision Pose and Size Detection for Home Service Robot
This paper proposes a method for estimating the pose and size of an object using binocular stereo vision. It utilizes a variable photo-model approach...