Results 31 to 40 of about 4,616,264 (348)
Estimation of Soil Surface Roughness Using Stereo Vision Approach
Sensors, 2021 Soil roughness is one of the most challenging issues in the agricultural domain and plays a crucial role in soil quality. The objective of this research was to develop a computerized method based on stereo vision technique to estimate the roughness ...
Afshin Azizi +4 more
doaj +1 more source
Channel Attention Based Iterative Residual Learning for Depth Map Super-Resolution [PDF]
Computer Vision and Pattern Recognition, 2020 Despite the remarkable progresses made in deep learning based depth map super-resolution (DSR), how to tackle real-world degradation in low-resolution (LR) depth maps remains a major challenge.
Xibin Song +6 more
semanticscholar +1 more source
Perspectives of RealSense and ZED Depth Sensors for Robotic Vision Applications
Machines, 2022 This review paper presents an overview of depth cameras. Our goal is to describe the features and capabilities of the introduced depth sensors in order to determine their possibilities in robotic applications, focusing on objects that might appear in ...
Vladimir Tadic +7 more
doaj +1 more source
Consolidation of multiple depth maps [PDF]
2011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops), 2011 Consolidation of point clouds, including denoising, outlier removal and normal estimation, is an important pre-processing step for surface reconstruction techniques. We present a consolidation framework specialized on point clouds created by multiple frames of a depth camera.
Irene Reisner-Kollmann +1 more
openaire +1 more source
Intelligent Control System to Irrigate Orchids Based on Visual Recognition and 3D Positioning
Applied Sciences, 2021 This work develops a novel automatic irrigation system to implement the customized and accurate watering for an individual seedling. The system integrates the modules of visual recognition of the stem-leaf junction, identification of the stem-root ...
Ting-Wei Chang +2 more
doaj +1 more source
Multiple Cylinder Extraction from Organized Point Clouds
Sensors, 2021 Most man-made objects are composed of a few basic geometric primitives (GPs) such as spheres, cylinders, planes, ellipsoids, or cones. Thus, the object recognition problem can be considered as one of geometric primitives extraction.
Saed Moradi +2 more
doaj +1 more source
EfficientNet-B0 Based Monocular Dense-Depth Map Estimation
Traitement du signal, 2021 Monocular depth estimation is a hot research topic in autonomous car driving. Deep convolution neural networks (DCNN) comprising encoder and decoder with transfer learning are exploited in the proposed work for monocular depth map estimation of two ...
Yasasvy Tadepalli +3 more
semanticscholar +1 more source
HandVoxNet: Deep Voxel-Based Network for 3D Hand Shape and Pose Estimation From a Single Depth Map [PDF]
Computer Vision and Pattern Recognition, 2020 3D hand shape and pose estimation from a single depth map is a new and challenging computer vision problem with many applications. The state-of-the-art methods directly regress 3D hand meshes from 2D depth images via 2D convolutional neural networks ...
J. Malik +7 more
semanticscholar +1 more source
Coupling RetinaFace and Depth Information to Filter False Positives
Applied Sciences, 2023 Face detection is an important problem in computer vision because it enables a wide range of applications, such as facial recognition and an analysis of human behavior.
Loris Nanni +3 more
doaj +1 more source
Local Property of Depth Information in 3D Images and Its Application in Feature Matching
Mathematics, 2023 In image registration or image matching, the feature extracted by using the traditional methods does not include the depth information which may lead to a mismatch of keypoints.
Erbing Yang +4 more
doaj +1 more source