Results 11 to 20 of about 16,759,811 (301)
Semantic RGB-D Image Synthesis [PDF]
2023 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW), 2023 ICCV Workshop on Representation Learning with Very Limited Images ...
Shijie Li 0006, Rong Li, Juergen Gall
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Utilizing Relevant RGB–D Data to Help Recognize RGB Images in the Target Domain [PDF]
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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Proceedings of the 20th ACM SIGGRAPH Symposium on Interactive 3D Graphics and Games, 2016 This paper presents an image-based rendering (IBR) system based on RGB-D images. The input of our system consists of RGB-D images captured at sparse locations in the scene and can be expanded by adding new RGB-D images. The sparsity of RGB-D images increases the usability of our system as the user need not capture a RGB-D image stream in a single shot,
Yeongyu Jeong +4 more
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Gesture Recognition of RGB and RGB-D Static Images Using Convolutional Neural Networks [PDF]
International Journal of Interactive Multimedia and Artificial Intelligence, 2019 In this era, the interaction between Human and Computers has always been a fascinating field. With the rapid development in the field of Computer Vision, gesture based recognition systems have always been an interesting and diverse topic.
Rubén González-Crespo +3 more
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Shadow Removal from Single RGB-D Images
2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014 We present the first automatic method to remove shadows from single RGB-D images. Using normal cues directly derived from depth, we can remove hard and soft shadows while preserving surface texture and shading. Our key assumption is: pixels with similar normals, spatial locations and chromaticity should have similar colors. A modified nonlocal matching
Yao Xiao +2 more
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Interactive Appearance Editing in RGB-D Images. [PDF]
, 2014 The availability of increasingly powerful and affordable image and depth sensors in conjunction with the necessary processing power creates novel possibilities for more sophisticated and powerful image editing tools. Along these lines we present a method
Bergmann, S. +2 more
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RGB-D-Fusion: Image Conditioned Depth Diffusion of Humanoid Subjects [PDF]
, 2023 We present RGB-D-Fusion, a multi-modal conditional denoising diffusion probabilistic model to generate high resolution depth maps from low-resolution monocular RGB images of humanoid subjects. RGB-D-Fusion first generates a low-resolution depth map using
Kirch, Sascha +13 more
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Object recognition methods based on RGB-D images
Xi'an Gongcheng Daxue xuebao, 2021 Object recognition is one of the main contents of machine vision research. RGB-D image, which integrates depth features, provides a new way for accuracy improving of object recognition.
Xun LI +5 more
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AN RGB-D DATA PROCESSING FRAMEWORK BASED ON ENVIRONMENT CONSTRAINTS FOR MAPPING INDOOR ENVIRONMENTS [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2019 The adoption of RGB and depth (RGB-D) sensors for surveying applications (i.e., building information modeling [BIM], indoor navigation, and three-dimensional [3D] models) to replace expensive and time-consuming methods (e.g., stereo cameras, laser ...
W. Darwish +5 more
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