Results 21 to 30 of about 16,759,811 (301)
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
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Fast Edge Detection in RGB-D Images [PDF]
, 2014 The understanding of scenes is a key aspect of computer vision. Edge detection helps us to understand more about the scene structure since the edges mark a clear distinction for a transition from one region with similar properties to another one. When the edges are obtained from changes in orientation, we can use them to find key planes and describe ...
Heriberto Casarrubias-Vargas +2 more
openaire +1 more source
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
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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
Real-time RGB-D image stitching using multiple Kinects for improved field of view
International Journal of Advanced Robotic Systems, 2017 This article concerns the problems of a defective depth map and limited field of view of Kinect-style RGB-D sensors. An anisotropic diffusion based hole-filling method is proposed to recover invalid depth data in the depth map.
Hengyu Li +6 more
doaj +1 more source
Understanding Everyday Hands in Action from RGB-D Images [PDF]
, 2015 International audienceWe analyze functional manipulations of handheld objects, formalizing the problem as one of fine-grained grasp classification. To do so, we make use of a recently developed fine-grained taxonomy of human-object grasps. We introduce a
Supancic, James, Steven +5 more
core +1 more source
NeRF-based RGB-D Images Generation in Robotics – Experimental Study
, 2023 Multiple learning-based algorithms in robotics require collecting RGB-D images of the scene from various viewpoints. These procedures are time-consuming, so many methods are trained using synthetic images.
Kulecki, Bartłomiej, Belter, Dominik
core +1 more source
Enhanced RGB-D Mapping Method for Detailed 3D Indoor and Outdoor Modeling
Sensors, 2016 RGB-D sensors (sensors with RGB camera and Depth camera) are novel sensing systems that capture RGB images along with pixel-wise depth information. Although they are widely used in various applications, RGB-D sensors have significant drawbacks including ...
Shengjun Tang +6 more
doaj +1 more source
Person Gender Classification on RGB-D Data With Self-Joint Attention
IEEE Access, 2021 Automatic gender classification has many potential applications including automatic annotation of images, video surveillance, security, and human-computer interaction.
Xiaoxiong Zhang +3 more
doaj +1 more source
INDOOR SEMANTIC SEGMENTATION FROM RGB-D IMAGES BY INTEGRATING FULLY CONVOLUTIONAL NETWORK WITH HIGHER-ORDER MARKOV RANDOM FIELD [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2018 Indoor scenes have the characteristics of abundant semantic categories, illumination changes, occlusions and overlaps among objects, which poses great challenges for indoor semantic segmentation.
J. Yang, Z. Kang
doaj +1 more source