Results 31 to 40 of about 14,435,990 (306)
Structure-Preserving Binary Representations for RGB-D Action Recognition [PDF]
, 2015 In this paper, we propose a novel binary local representation for RGB-D video data fusion with a structure-preserving projection. Our contribution consists of two aspects.
Liu, Li, Shao, Ling, Yu, Mengyang
core +1 more source
Revista Politécnica, 2019 RGB-D sensors have allowed attacking many classical problems in computer vision such as segmentation, scene representations and human interaction, among many others.
Fabián Castillo +2 more
doaj +1 more source
RGB-D datasets using microsoft kinect or similar sensors: a survey [PDF]
, 2016 RGB-D data has turned out to be a very useful representation of an indoor scene for solving fundamental computer vision problems. It takes the advantages of the color image that provides appearance information of an object and also the depth image that ...
Cai, Ziyun +7 more
core +2 more sources
An evaluation of the RGB-D SLAM system [PDF]
2012 IEEE International Conference on Robotics and Automation, 2012 We present an approach to simultaneous localization and mapping (SLAM) for RGB-D cameras like the Microsoft Kinect. Our system concurrently estimates the trajectory of a hand-held Kinect and generates a dense 3D model of the environment. We present the key features of our approach and evaluate its performance thoroughly on a recently published dataset,
Felix Endres +5 more
openaire +1 more source
GrapesNet: Indian Grape Clusters RGB & RGB-D Image Datasets
, 2023 There are four different RGB and RGB-D image datasets of grape clusters created in Indian vineyards are proposed in the GrapesNet: 1. Single grape cluster per image with artificial background and single grape cluster per image with real background 2 ...
Barbole, Dhanashree +1 more
core +2 more sources
Investigating 2-D and 3-D Proximal Remote Sensing Techniques for Vineyard Yield Estimation
Sensors, 2019 Vineyard yield estimation provides the winegrower with insightful information regarding the expected yield, facilitating managerial decisions to achieve maximum quantity and quality and assisting the winery with logistics.
Chris Hacking +3 more
doaj +1 more source
SCENE SEMANTIC SEGMENTATION FROM INDOOR RGB-D IMAGES USING ENCODE-DECODER FULLY CONVOLUTIONAL NETWORKS [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2017 With increasing attention for the indoor environment and the development of low-cost RGB-D sensors, indoor RGB-D images are easily acquired. However, scene semantic segmentation is still an open area, which restricts indoor applications.
Z. Wang, T. Li, L. Pan, Z. Kang
doaj +1 more source
Neural RGB-D Surface Reconstruction
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022 Obtaining high-quality 3D reconstructions of room-scale scenes is of paramount importance for upcoming applications in AR or VR. These range from mixed reality applications for teleconferencing, virtual measuring, virtual room planing, to robotic applications.
Azinovic, D. +4 more
openaire +5 more sources
Efficient RGB–D data processing for feature–based self–localization of mobile robots
International Journal of Applied Mathematics and Computer Science, 2016 The problem of position and orientation estimation for an active vision sensor that moves with respect to the full six degrees of freedom is considered. The proposed approach is based on point features extracted from RGB-D data.
Kraft Marek +4 more
doaj +1 more source
RGB-D salient object detection: A survey [PDF]
Computational Visual Media, 2021 Salient object detection (SOD), which simulates the human visual perception system to locate the most attractive object(s) in a scene, has been widely applied to various computer vision tasks. Now, with the advent of depth sensors, depth maps with affluent spatial information that can be beneficial in boosting the performance of SOD, can easily be ...
Tao Zhou 0002 +4 more
openaire +4 more sources