Results 31 to 40 of about 4,496,548 (308)
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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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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Photon counting compressive depth mapping
Optics Express, 2013 We demonstrate a compressed sensing, photon counting lidar system based on the single-pixel camera. Our technique recovers both depth and intensity maps from a single under-sampled set of incoherent, linear projections of a scene of interest at ultra-low light levels around 0.5 picowatts.
Howland, Gregory A. +3 more
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Cascaded Multi-Task Learning of Head Segmentation and Density Regression for RGBD Crowd Counting
IEEE Access, 2020 In this paper we propose a novel regression based RGBD crowd counting method. Compared with previous RGBD crowd counting methods which mainly exploit depth cue to facilitate person/head detection, our approach adopts density map regression and is more ...
Desen Zhou, Qian He
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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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Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska, 2020 The problem of face recognition is discussed. The main methods of recognition are considered. The calibrated stereo pair for the face and calculating the depth map by the correlation algorithm are used.
Olexandr N. Romanyuk +5 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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Depth map upsampling using depth local features
Electronics Letters, 2014 A depth map upsampling method using depth local features is proposed. Depth discontinuity and depth variance are extracted from a low‐resolution depth map and a colour image as the depth local features. They are incorporated into an energy function for the Markov random field (MRF)‐based depth upsampling.
Y.S. Kang, S.B. Lee, Y.S. Ho
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Fast 3D-HEVC Depth Map Encoding Using Machine Learning
IEEE transactions on circuits and systems for video technology (Print), 2020 This paper presents a fast depth map encoding for 3D-High Efficiency Video Coding (3D-HEVC) based on static decision trees. We used data mining and machine learning to correlate the encoder context attributes, building the static decision trees.
Mário Saldanha +3 more
semanticscholar +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
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