Results 31 to 40 of about 16,759,811 (301)
Machines, 2021 Electric companies face flow control and inventory obstacles such as reliability, outlays, and time-consuming tasks. Convolutional Neural Networks (CNNs) combined with computational vision approaches can process image classification in warehouse ...
Paulo Henrique Martinez Piratelo +9 more
doaj +1 more source
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
doaj +1 more source
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
doaj +1 more source
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
doaj +1 more source
Intrinsic Scene Decomposition from RGB-D Images [PDF]
2015 IEEE International Conference on Computer Vision (ICCV), 2015 In this paper, we address the problem of computing an intrinsic decomposition of the colors of a surface into an albedo and a shading term. The surface is reconstructed from a single or multiple RGB-D images of a static scene obtained from different views. We thereby extend and improve existing works in the area of intrinsic image decomposition.
Mohammed Hachama +2 more
openaire +2 more sources
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
doaj +1 more source
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
doaj +1 more source
Face Recognition Using RGB-D Images
, 2014 This presentations was made about a paper that uses RGB-D images for face ...
Helder Oliveira (576027)
core +1 more source
Deep Depth Completion of a Single RGB-D Image [PDF]
2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2018 Accepted by CVPR2018 (Spotlight). Project webpage: http://deepcompletion.cs.princeton.edu/ This version includes supplementary materials which provide more implementation details, quantitative evaluation, and qualitative results.
Yinda Zhang 0001, Thomas A. Funkhouser
openaire +2 more sources
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
doaj +1 more source