Computer stereo vision
View article: Generalized Geometry Encoding Volume for Real-time Stereo Matching
Generalized Geometry Encoding Volume for Real-time Stereo Matching Open
Real-time stereo matching methods primarily focus on enhancing in-domain performance but often overlook the critical importance of generalization in real-world applications. In contrast, recent stereo foundation models leverage monocular f…
View article: Generalized Geometry Encoding Volume for Real-time Stereo Matching
Generalized Geometry Encoding Volume for Real-time Stereo Matching Open
Real-time stereo matching methods primarily focus on enhancing in-domain performance but often overlook the critical importance of generalization in real-world applications. In contrast, recent stereo foundation models leverage monocular f…
View article: MODEST: Multi-Optics Depth-of-Field Stereo Dataset
MODEST: Multi-Optics Depth-of-Field Stereo Dataset Open
Reliable depth estimation under real optical conditions remains a core challenge for camera vision in systems such as autonomous robotics and augmented reality. Despite recent progress in depth estimation and depth-of-field rendering, rese…
View article: MODEST: Multi-Optics Depth-of-Field Stereo Dataset
MODEST: Multi-Optics Depth-of-Field Stereo Dataset Open
Reliable depth estimation under real optical conditions remains a core challenge for camera vision in systems such as autonomous robotics and augmented reality. Despite recent progress in depth estimation and depth-of-field rendering, rese…
View article: Stereo Anywhere: Robust Zero-Shot Deep Stereo Matching Even Where Either Stereo or Mono Fail
Stereo Anywhere: Robust Zero-Shot Deep Stereo Matching Even Where Either Stereo or Mono Fail Open
We introduce Stereo Anywhere, a novel stereo-matching framework that combines geometric constraints with robust priors from monocular depth Vision Foundation Models (VFMs). By elegantly coupling these complementary worlds through a dual-br…
View article: Stereo Anywhere: Robust Zero-Shot Deep Stereo Matching Even Where Either Stereo or Mono Fail
Stereo Anywhere: Robust Zero-Shot Deep Stereo Matching Even Where Either Stereo or Mono Fail Open
We introduce Stereo Anywhere, a novel stereo-matching framework that combines geometric constraints with robust priors from monocular depth Vision Foundation Models (VFMs). By elegantly coupling these complementary worlds through a dual-br…
View article: Stereo images and 3D XYZ maps dataset of wooden battens – Ensenso X36
Stereo images and 3D XYZ maps dataset of wooden battens – Ensenso X36 Open
This dataset contains images of wooden battens placed over wooden planks. It includes stereo pairs (left/right) and 3D reconstructed maps (X, Y, Z coordinates). The data was captured using an Ensenso X36-5CP-12/20/2600-400/2600 stereo came…
View article: Stereo images and 3D XYZ maps dataset of wooden battens – Ensenso X36
Stereo images and 3D XYZ maps dataset of wooden battens – Ensenso X36 Open
This dataset contains images of wooden battens placed over wooden planks. It includes stereo pairs (left/right) and 3D reconstructed maps (X, Y, Z coordinates). The data was captured using an Ensenso X36-5CP-12/20/2600-400/2600 stereo came…
View article: A physical experiment and theory of binocular virtual image related to stereopsis
A physical experiment and theory of binocular virtual image related to stereopsis Open
The original purpose of this study is to design a system for training people to watch three-dimensional drawings based on stereoscopic vision, and to avoid learners' myopia and cross-eye in the learning process. Then a special form of virt…
View article: A physical experiment and theory of binocular virtual image related to stereopsis
A physical experiment and theory of binocular virtual image related to stereopsis Open
The original purpose of this study is to design a system for training people to watch three-dimensional drawings based on stereoscopic vision, and to avoid learners' myopia and cross-eye in the learning process. Then a special form of virt…
View article: A Stereo Vision-Based Method for Reconstructing 3-D Hand Motion in Real-Time
A Stereo Vision-Based Method for Reconstructing 3-D Hand Motion in Real-Time Open
Hand motion paralysis negatively affects the lives of the involved patients. To recover the hand motions into their normal condition, these patients need to be taken into complex and long-term rehabilitation treatments. During rehabilitati…
View article: A telecentric-perspective heterogeneous stereo vision system and its calibration
A telecentric-perspective heterogeneous stereo vision system and its calibration Open
View article: Event-based stereo depth estimation
Event-based stereo depth estimation Open
Stereopsis has widespread appeal in computer vision and robotics as it is the predominant way by which we perceive depth to navigate our 3D world. Event cameras are novel bio-inspired sensors that detect per-pixel brightness changes asynch…
View article: 3D Object Trajectory Reconstruction using Instance-Aware Multibody Structure from Motion and Stereo Sequence Constraints
3D Object Trajectory Reconstruction using Instance-Aware Multibody Structure from Motion and Stereo Sequence Constraints Open
Three-dimensional environment perception is a key element of autonomous driving and driver assistance systems. A common image based approach to determine three-dimensional scene information is stereo matching, which is limited by the stere…
View article: Research on intelligent cranes with binocular stereo vision
Research on intelligent cranes with binocular stereo vision Open
In the paper, for the current operating characteristics of an in-use crane control method for lifting nuclear waste, study its binocular Stereo Vision perturbation suppression method based on the self-immunity controller, using an industri…
View article: RETRACTION: Automatic Cutting System Design of Robot Hand Based on Stereo Vision
RETRACTION: Automatic Cutting System Design of Robot Hand Based on Stereo Vision Open
View article: Stereo-Matching Deep Learning Dataset for Maize 3D Phenotyping
Stereo-Matching Deep Learning Dataset for Maize 3D Phenotyping Open
The dataset consists of stereo images of maize plants captured daily from August 20 to September 6, aimed at constructing a comprehensive dataset for phenotypic analysis and the development of stereo vision models. The images were acquired…
View article: Deep photometric stereo for dynamic single-pixel 3D imaging
Deep photometric stereo for dynamic single-pixel 3D imaging Open
Real-time 3D single-pixel imaging (SPI) is challenging due to the requirement of complex calibration and the inherent tradeoff between resolution and the number of measurements. In this work, we propose a calibration-free framework that in…
View article: Deep photometric stereo for dynamic single-pixel 3D imaging
Deep photometric stereo for dynamic single-pixel 3D imaging Open
Real-time 3D single-pixel imaging (SPI) is challenging due to the requirement of complex calibration and the inherent tradeoff between resolution and the number of measurements. In this work, we propose a calibration-free framework that in…
View article: MaDis-Stereo: Enhanced Stereo Matching via Distilled Masked Image Modeling
MaDis-Stereo: Enhanced Stereo Matching via Distilled Masked Image Modeling Open
In stereo matching, CNNs have traditionally served as the predominant\narchitectures. Although Transformer-based stereo models have been studied\nrecently, their performance still lags behind CNN-based stereo models due to\nthe inherent da…
View article: Towards Smart Aquaculture: A Stereo Vision and AI-Based System for Fish Fry Monitoring and 3D Measurement
Towards Smart Aquaculture: A Stereo Vision and AI-Based System for Fish Fry Monitoring and 3D Measurement Open
View article: Deep photometric stereo for dynamic single-pixel 3D imaging
Deep photometric stereo for dynamic single-pixel 3D imaging Open
Real-time 3D single-pixel imaging (SPI) is challenging due to the requirement of complex calibration and the inherent tradeoff between resolution and the number of measurements. In this work, we propose a calibration-free framework that in…
View article: An evaluation of DUSt3R/MASt3R/VGGT 3D reconstruction on photogrammetric aerial blocks
An evaluation of DUSt3R/MASt3R/VGGT 3D reconstruction on photogrammetric aerial blocks Open
State-of-the-art 3D computer vision algorithms continue to improve on sparse, unordered image sets. Recently developed foundational models for 3D reconstruction, such as dense and unconstrained stereo 3d reconstruction (DUSt3R), matching a…
View article: Point cloud videos from 1.2 and 5MP stereo cameras with real-time and offline stereo matching algorithms
Point cloud videos from 1.2 and 5MP stereo cameras with real-time and offline stereo matching algorithms Open
High-resolution (5MP+) stereo vision systems are essential for advancing robotic capabilities, enabling operation over longer ranges and generating significantly denser and accurate 3D point clouds. However, realizing the full potential of…
View article: Comparative Analysis of Deep Learning-Based Stereo Matching and Multi-View Stereo for Urban DSM Generation
Comparative Analysis of Deep Learning-Based Stereo Matching and Multi-View Stereo for Urban DSM Generation Open
The creation of digital surface models (DSMs) from aerial and satellite imagery is often the starting point for different remote sensing applications. For this task, the two main used approaches are stereo matching and multi-view stereo (M…
View article: Reliable Disparity Estimation Using Multiocular Vision with Adjustable Baseline
Reliable Disparity Estimation Using Multiocular Vision with Adjustable Baseline Open
Accurate estimation of three-dimensional (3D) information from captured images is essential in numerous computer vision applications. Although binocular stereo vision has been extensively investigated for this task, its reliability is cond…
View article: Deep Learning based Stereo Vision Camera System
Deep Learning based Stereo Vision Camera System Open
View article: Comprehensive Framework for Evaluation of Stereo Correspondence Solutions in Immersive Augmented and Virtual Realities
Comprehensive Framework for Evaluation of Stereo Correspondence Solutions in Immersive Augmented and Virtual Realities Open
In this article, a comprehensive approach for the evaluation of hardware and software solutions to support stereo vision and depth-dependent interactions based on the specific requirements of the human visual system within the context of a…
View article: Camouflage Breaking with Stereo-Vision-Assisted Imaging
Camouflage Breaking with Stereo-Vision-Assisted Imaging Open
Camouflage is a natural or artificial process that prevents an object from being detected, while camouflage breaking is a countering process for the identification of the concealed object. We report that a perfectly camouflaged object can …
View article: Principles of stereo reconstruction of aerial objects using stationary cameras
Principles of stereo reconstruction of aerial objects using stationary cameras Open
An overview is given here of the principles and mathematics of stereo reconstruction of objects in the sky using stationary cameras with an emphasis on meteorological applications. Through its Atmospheric Radiation Measurement program, the…