Results 11 to 20 of about 350,925 (266)
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
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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
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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
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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
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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
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Noise-Resilient Depth Estimation for Light Field Images Using Focal Stack and FFT Analysis
Sensors, 2022 Depth estimation for light field images is essential for applications such as light field image compression, reconstructing perspective views and 3D reconstruction.
Rishabh Sharma, Stuart Perry, Eva Cheng
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Directional Ring Difference Filter for Robust Shape-from-Focus
Mathematics, 2023 In the shape-from-focus (SFF) method, the quality of the 3D shape generated relies heavily on the focus measure operator (FM) used. Unfortunately, most FMs are sensitive to noise and provide inaccurate depth maps.
Khurram Ashfaq, Muhammad Tariq Mahmood
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Depth Map Decomposition for Monocular Depth Estimation
, 2022 We propose a novel algorithm for monocular depth estimation that decomposes a metric depth map into a normalized depth map and scale features. The proposed network is composed of a shared encoder and three decoders, called G-Net, N-Net, and M-Net, which estimate gradient maps, a normalized depth map, and a metric depth map, respectively.
Jinyoung Jun +3 more
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Future Internet, 2019 When it comes to evaluating perceptual quality of digital media for overall quality of experience assessment in immersive video applications, typically two main approaches stand out: Subjective and objective quality evaluation.
Safak Dogan +3 more
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The stereoscopic analysis and depth map creation
European Journal of Business Science and Technology, 2016 This contribution is focused on the use of the stereoscopic image for the purpose of depth map creation. Further, methods for calibration of the camera(s) are discussed. A stereoscopic head was constructed for the purpose of creating a stereoscopic image.
Ondřej Švehla
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