Results 21 to 30 of about 350,925 (266)
Deep-Learning and Depth-Map Based Approach for Detection and 3-D Localization of Small Traffic Signs
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2020 The three-dimensional (3-D) geographic locations of street furniture, such as traffic signs, comprise the basic content of 3-D city construction, and such information is indispensable for periodic statistics for road management and maintenance.
Lirong Liu +6 more
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IET Image Processing, 2023 The effective integration of RGB and depth map features to improve the performance of RGB‐D salient object detection (SOD) has garnered significant research interest.
Lingbing Meng +5 more
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Enhancing Focus Volume through Perceptual Focus Factor in Shape-from-Focus
Mathematics, 2023 Shape From Focus (SFF) reconstructs a scene’s shape using a series of images with varied focus settings. However, the effectiveness of SFF largely depends on the Focus Measure (FM) used, which is prone to noise-induced inaccuracies in focus values.
Khurram Ashfaq, Muhammad Tariq Mahmood
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A novel switching bilateral filtering algorithm for depth map [PDF]
Компьютерная оптика, 2019 In this paper, we propose a novel switching bilateral filter for depth map from a RGB-D sensor. The switching method works as follows: the bilateral filter is applied not at all pixels of the depth map, but only in those where noise and holes are ...
Alexey Ruchay +2 more
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FastMDE: A Fast CNN Architecture for Monocular Depth Estimation at High Resolution
IEEE Access, 2022 A depth map helps robots and autonomous vehicles (AVs) visualize the three-dimensional world to navigate and localize neighboring obstacles. However, it is difficult to develop a deep learning model that can estimate the depth map from a single image in ...
Thien-Thanh Dao +2 more
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Depth Mapping for Stereoscopic Videos [PDF]
International Journal of Computer Vision, 2012 Stereoscopic videos have become very popular in recent years. Most of these videos are developed primarily for viewing on large screens located at some distance away from the viewer. If we watch these videos on a small screen located near to us, the depth range of the videos will be seriously reduced, which can significantly degrade the 3D effects of ...
Tao Yan 0001 +3 more
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DEPTH MAP ESTIMATION IN LIGHT FIELDS USING AN STEREO-LIKE TAXONOMY
Revista de Investigaciones Universidad del Quindío, 2016 The light field or LF is a function that describes the amount of light traveling in every direction (angular) through every point (spatial) in a scene, this LF can be captured in several ways, using arrays of cameras, or more recently using a single ...
Francisco C. Calderon +2 more
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Вестник Дагестанского государственного технического университета: Технические науки, 2020 Objective. Modeling the human head is a significant problem that arises in a wide variety of fields of science and technology. Existing active technologies for reconstruction and modeling of the object under study require expensive equipment and trained ...
S. I. Korotkevich, Yu. V. Minaeva
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Research on Image Segmentation Algorithms on Broiler Depth Atlas
Guangdong nongye kexue, 2022 【Objective】Aiming at the difficulty in recognizing and segmenting multiple broilers in complex environment, a segmentation method for depth map of multiple broilers based on deep learning was explored.【Method】By using the depth camera, the depth map of ...
Ximing LI +5 more
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Pediatric Blood &Cancer, EarlyView.ABSTRACT Primary cutaneous anaplastic large cell lymphoma (pcALCL) is a rare pediatric CD30‐positive T‐cell lymphoproliferative disorder with an excellent prognosis, but its genomic drivers are poorly defined. We report three children with skin‐limited disease demonstrating striking molecular heterogeneity, including NPM::ALK, NUP214::FRK, and a novel ...
Shoshana Greenberger +7 more
wiley +1 more source