Results 21 to 30 of about 41,045 (213)
The Synthesis of Unpaired Underwater Images for Monocular Underwater Depth Prediction
Frontiers in Marine Science, 2021 Underwater depth prediction plays an important role in underwater vision research. Because of the complex underwater environment, it is extremely difficult and expensive to obtain underwater datasets with reliable depth annotation. Thus, underwater depth
Qi Zhao +7 more
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INTEGRATING DEPTH AND IMAGE SEQUENCES FOR PLANETARY ROVER MAPPING USING RGB-D SENSOR [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2018 RGB-D camera allows the capture of depth and color information at high data rates, and this makes it possible and beneficial integrate depth and image sequences for planetary rover mapping. The proposed mapping method consists of three steps.
M. Peng +8 more
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Reduced Calibration Strategy Using a Basketball for RGB-D Cameras
Mathematics, 2022 RGB-D cameras produce depth and color information commonly used in the 3D reconstruction and vision computer areas. Different cameras with the same model usually produce images with different calibration errors. The color and depth layer usually requires
Luis-Rogelio Roman-Rivera +5 more
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IEEE Access, 2023 This paper proposes an RGB-D sensor-aided ray-tracing simulation framework for indoor radio map construction that models indoor information, such as walls and obstacles, as a set of cuboids.
Norisato Suga +2 more
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Cross-Modal Adaptive Interaction Network for RGB-D Saliency Detection
Applied SciencesThe salient object detection (SOD) task aims to automatically detect the most prominent areas observed by the human eye in an image. Since RGB images and depth images contain different information, how to effectively integrate cross-modal features in the
Qinsheng Du +4 more
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RGB-D Object Recognition Using Multi-Modal Deep Neural Network and DS Evidence Theory
Sensors, 2019 With the development of low-cost RGB-D (Red Green Blue-Depth) sensors, RGB-D object recognition has attracted more and more researchers’ attention in recent years.
Hui Zeng +4 more
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Utilizing Relevant RGB–D Data to Help Recognize RGB Images in the Target Domain
International Journal of Applied Mathematics and Computer Science, 2019 With the advent of 3D cameras, getting depth information along with RGB images has been facilitated, which is helpful in various computer vision tasks. However, there are two challenges in using these RGB-D images to help recognize RGB images captured by
Gao Depeng +5 more
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COMPARISON BETWEEN RGB AND RGB-D CAMERAS FOR SUPPORTING LOW-COST GNSS URBAN NAVIGATION [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2018 A pure GNSS navigation is often unreliable in urban areas because of the presence of obstructions, thus preventing a correct reception of the satellite signal.
L. Rossi +5 more
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DDaNet: Dual-Path Depth-Aware Attention Network for Fingerspelling Recognition Using RGB-D Images
IEEE Access, 2021 Automatic fingerspelling recognition aims to overcome communication barriers between people who are deaf and those who can hear. RGB-D cameras are widely used to handle finger occlusion, which usually hinders fingerspelling recognition.
Shih-Hung Yang +3 more
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Stitching of depth and color images from multiple RGB-D sensors for extended field of view
International Journal of Advanced Robotic Systems, 2019 Existing commodity RGB-D sensors have a limited field of view compared with a nearly 360° horizontal field of view of Lidar. This article presents a method to extend the field of view by stitching depth and color images from multiple RGB-D sensors to ...
Changquan Ding, Hang Liu, Hengyu Li
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