Stereo cameras
View article: Structure-from-motion in micro-image domain for uncalibrated plenoptic 2.0 cameras
Structure-from-motion in micro-image domain for uncalibrated plenoptic 2.0 cameras Open
We introduce a structure-from-motion method specifically designed to process the raw micro-images captured by plenoptic 2.0 cameras. Unlike traditional monocular cameras, plenoptic cameras incorporate a micro-lens array between the sensor …
View article: StereoWorld: Geometry-Aware Monocular-to-Stereo Video Generation
StereoWorld: Geometry-Aware Monocular-to-Stereo Video Generation Open
The growing adoption of XR devices has fueled strong demand for high-quality stereo video, yet its production remains costly and artifact-prone. To address this challenge, we present StereoWorld, an end-to-end framework that repurposes a p…
View article: StereoWorld: Geometry-Aware Monocular-to-Stereo Video Generation
StereoWorld: Geometry-Aware Monocular-to-Stereo Video Generation Open
The growing adoption of XR devices has fueled strong demand for high-quality stereo video, yet its production remains costly and artifact-prone. To address this challenge, we present StereoWorld, an end-to-end framework that repurposes a p…
View article: Geometry-Aware Sparse Depth Sampling for High-Fidelity RGB-D Depth Completion in Robotic Systems
Geometry-Aware Sparse Depth Sampling for High-Fidelity RGB-D Depth Completion in Robotic Systems Open
Accurate three-dimensional perception is essential for modern industrial robotic systems that perform manipulation, inspection, and navigation tasks. RGB-D and stereo vision sensors are widely used for this purpose, but the depth maps they…
View article: Geometry-Aware Sparse Depth Sampling for High-Fidelity RGB-D Depth Completion in Robotic Systems
Geometry-Aware Sparse Depth Sampling for High-Fidelity RGB-D Depth Completion in Robotic Systems Open
Accurate three-dimensional perception is essential for modern industrial robotic systems that perform manipulation, inspection, and navigation tasks. RGB-D and stereo vision sensors are widely used for this purpose, but the depth maps they…
View article: GL-VSLAM: A General Lightweight Visual SLAM Approach for RGB-D and Stereo Cameras
GL-VSLAM: A General Lightweight Visual SLAM Approach for RGB-D and Stereo Cameras Open
Feature-based indirect SLAM is more robust than direct SLAM; however, feature extraction and descriptor computation are time-consuming. In this paper, we propose GL-VSLAM, a general lightweight visual SLAM approach designed for RGB-D and s…
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: High-Precision 3D Recognition of Road Potholes Based on Binocular Vision and Cross-Modal Feature Fusion
High-Precision 3D Recognition of Road Potholes Based on Binocular Vision and Cross-Modal Feature Fusion Open
Efficient detection and accurate three-dimensional characterization of road potholes are crucial for road maintenance and traffic safety. To address the issues of high cost and poor environmental adaptability in existing detection methods,…
View article: UAVLight: A Benchmark for Illumination-Robust 3D Reconstruction in Unmanned Aerial Vehicle (UAV) Scenes
UAVLight: A Benchmark for Illumination-Robust 3D Reconstruction in Unmanned Aerial Vehicle (UAV) Scenes Open
Illumination inconsistency is a fundamental challenge in multi-view 3D reconstruction. Variations in sunlight direction, cloud cover, and shadows break the constant-lighting assumption underlying both classical multi-view stereo (MVS) and …
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: SP-VINS: A Hybrid Stereo Visual Inertial Navigation System based on Implicit Environmental Map
SP-VINS: A Hybrid Stereo Visual Inertial Navigation System based on Implicit Environmental Map Open
Filter-based visual inertial navigation system (VINS) has attracted mobile-robot researchers for the good balance between accuracy and efficiency, but its limited mapping quality hampers long-term high-accuracy state estimation. To this en…
View article: StereoDETR: Stereo-based Transformer for 3D Object Detection
StereoDETR: Stereo-based Transformer for 3D Object Detection Open
Compared to monocular 3D object detection, stereo-based 3D methods offer significantly higher accuracy but still suffer from high computational overhead and latency. The state-of-the-art stereo 3D detection method achieves twice the accura…
View article: SP-VINS: A Hybrid Stereo Visual Inertial Navigation System based on Implicit Environmental Map
SP-VINS: A Hybrid Stereo Visual Inertial Navigation System based on Implicit Environmental Map Open
Filter-based visual inertial navigation system (VINS) has attracted mobile-robot researchers for the good balance between accuracy and efficiency, but its limited mapping quality hampers long-term high-accuracy state estimation. To this en…
View article: StereoDETR: Stereo-based Transformer for 3D Object Detection
StereoDETR: Stereo-based Transformer for 3D Object Detection Open
Compared to monocular 3D object detection, stereo-based 3D methods offer significantly higher accuracy but still suffer from high computational overhead and latency. The state-of-the-art stereo 3D detection method achieves twice the accura…
View article: Optimal Pose Guidance for Stereo Calibration in 3D Deformation Measurement
Optimal Pose Guidance for Stereo Calibration in 3D Deformation Measurement Open
Stereo optical measurement techniques, such as digital image correlation (DIC), are widely used in 3D deformation measurement as non-contact, full-field measurement methods, in which stereo calibration is a crucial step. However, current s…
View article: Optimal Pose Guidance for Stereo Calibration in 3D Deformation Measurement
Optimal Pose Guidance for Stereo Calibration in 3D Deformation Measurement Open
Stereo optical measurement techniques, such as digital image correlation (DIC), are widely used in 3D deformation measurement as non-contact, full-field measurement methods, in which stereo calibration is a crucial step. However, current s…
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: Lite Any Stereo: Efficient Zero-Shot Stereo Matching
Lite Any Stereo: Efficient Zero-Shot Stereo Matching Open
Recent advances in stereo matching have focused on accuracy, often at the cost of significantly increased model size. Traditionally, the community has regarded efficient models as incapable of zero-shot ability due to their limited capacit…
View article: Lite Any Stereo: Efficient Zero-Shot Stereo Matching
Lite Any Stereo: Efficient Zero-Shot Stereo Matching Open
Recent advances in stereo matching have focused on accuracy, often at the cost of significantly increased model size. Traditionally, the community has regarded efficient models as incapable of zero-shot ability due to their limited capacit…
View article: Joint Dual-Branch Denoising for Underwater Stereo Depth Estimation
Joint Dual-Branch Denoising for Underwater Stereo Depth Estimation Open
Accurate depth estimation is fundamental for underwater applications such as robotics and marine exploration. However, underwater imaging suffers from severe degradation due to light attenuation, scattering, and geometric distortion, which…
View article: Stereo-GS: Online 3D Gaussian Splatting Mapping Using Stereo Depth Estimation
Stereo-GS: Online 3D Gaussian Splatting Mapping Using Stereo Depth Estimation Open
We present Stereo-GS, a real-time system for online 3D Gaussian Splatting (3DGS) that reconstructs photorealistic 3D scenes from streaming stereo pairs. Unlike prior offline 3DGS methods that require dense multi-view input or precomputed d…
View article: Comparative Analysis of Machine Learning Algorithms for Classification of UAV-based Photogrammetric Cultural Heritage Point Clouds
Comparative Analysis of Machine Learning Algorithms for Classification of UAV-based Photogrammetric Cultural Heritage Point Clouds Open
Unmanned Aerial Vehicles (UAVs) are being increasingly utilized across different fields because of their ability to deliver quick, cost-effective, and precise spatial information. Innovations in photogrammetry and computer vision technique…
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: Optimizations and Applications of Binocular Vision Technology Development by Deep Learning
Optimizations and Applications of Binocular Vision Technology Development by Deep Learning Open
Traditional binocular vision technology exhibits poor robustness in weak texture, illumination change, and occluded scenes, along with high computational complexity, making it difficult to meet real-time requirements. The rapid development…
View article: Pan-preferential stereo IBVS on ARMOS TurtleBot: Design and experimental evaluation
Pan-preferential stereo IBVS on ARMOS TurtleBot: Design and experimental evaluation Open
Image-based visual servoing (IBVS) on nonholonomic platforms often suffers from transient conflicts between camera alignment and base motion when the viewpoint is fixed. This work addresses that difficulty by mounting a rectified stereo pa…
View article: Pan-preferential stereo IBVS on ARMOS TurtleBot: Design and experimental evaluation
Pan-preferential stereo IBVS on ARMOS TurtleBot: Design and experimental evaluation Open
Image-based visual servoing (IBVS) on nonholonomic platforms often suffers from transient conflicts between camera alignment and base motion when the viewpoint is fixed. This work addresses that difficulty by mounting a rectified stereo pa…