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CMSNet: Deep Color and Monochrome Stereo
In this paper, we propose an end-to-end convolutional neural network for stereo matching with color and monochrome cameras, called CMSNet (Color and...
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Dehazing Cost Volume for Deep Multi-view Stereo in Scattering Media
We propose a learning-based multi-view stereo (MVS) method in scattering media such as fog or smoke with a novel cost volume, called the dehazing...
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The study of stereo matching optimization based on multi-baseline trinocular model
The huge computational complexity, occlusion and low texture region problems make stereo matching a big challenge. In this work, we use...
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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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Dual-stream stereo network for depth estimation
Depth-estimation is an important task for autonomous driving, 3D object detection and recognition, scene understanding, and other fields. To improve...
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Depth estimation using an improved stereo network
Self-supervised depth estimation approaches present excellent results that are comparable to those of the fully supervised approaches, by employing...
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Deep-plane sweep generative adversarial network for consistent multi-view depth estimation
Owing to the improved representation ability, recent deep learning-based methods enable to estimate scene depths accurately. However, these methods...
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Learning to Estimate Multi-view Pose from Object Silhouettes
While Structure-from-Motion pipelines certainly have their success cases in the task of 3D object reconstruction from multiple images, they still...
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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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MODE: Multi-view Omnidirectional Depth Estimation with 360 \(^\circ \) Cameras
In this paper, we propose a two-stage omnidirectional depth estimation framework with multi-view 360...
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DiffuStereo: High Quality Human Reconstruction via Diffusion-Based Stereo Using Sparse Cameras
We propose DiffuStereo, a novel system using only sparse cameras (8 in this work) for high-quality 3D human reconstruction. At its core is a novel...
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Stereo 3D object detection via instance depth prior guidance and adaptive spatial feature aggregation
We present a novel and high-performance framework for 3D object detection using stereo vision. This framework incorporates direct instance depth...
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Stereo VoVNet-CNN for 3D object detection
3D object detection is a key issue and research in autonomous vehicle and computer vision. 3D detection methods based on stereoscopic images estimate...
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Learning conditional photometric stereo with high-resolution features
Photometric stereo aims to reconstruct 3D geometry by recovering the dense surface orientation of a 3D object from multiple images under differing...
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STTR-3D: Stereo Transformer 3D Network for Video-Based Disparity Change Estimation
In the field of computer vision and stereo depth estimation, there has been little research in obtaining high-accuracy disparity change maps from...
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Stereoential Net: Deep Network for Learning Building Height Using Stereo Imagery
Height estimation plays a crucial role in the planning and assessment of urban development, enabling effective decision-making and evaluation of...
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SVP-Classifier: Single-View Point Cloud Data Classifier with Multi-view Hallucination
We address single-view 3D shape classification with partial Point Cloud Data (PCD) inputs. Conventional PCD classifiers achieve the best performance...
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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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Underwater stereo-matching algorithm based on belief propagation
Using stereo-imaging systems to collect 3D information is innovative and flexible for underwater exploration. The stereo-matching of underwater image...
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Bayesian Fusion Inspired 3D Reconstruction via LiDAR-Stereo Camera Pair
A Bayesian Inference inspired methodology is presented for 3D reconstruction using LiDAR-Stereo Pair fusion. While low-cost LiDARs provide limited...