Results 51 to 60 of about 14,618,314 (310)
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
Temporal and Spatial Denoising of Depth Maps
Sensors, 2015 This work presents a procedure for refining depth maps acquired using RGB-D (depth) cameras. With numerous new structured-light RGB-D cameras, acquiring high-resolution depth maps has become easy. However, there are problems such as undesired occlusion,
Bor-Shing Lin +4 more
doaj +1 more source
Computers and Electronics in Agriculture, 2020 Fruit detection and localization are essential for future agronomic management of fruit crops such as yield prediction, yield mapping and automated harvesting.
Longsheng Fu +5 more
semanticscholar +1 more source
Experimental demonstration of RGB LED-based optical camera communications [PDF]
, 2015 Red, green, and blue (RGB) light-emitting diodes (LEDs) are widely used in everyday illumination, particularly where color-changing lighting is required.
Ghassemlooy, Zabih +7 more
core +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
core +1 more source
Robust alternating optimisation for extrinsic calibration of RGB‐D cameras
Electronics Letters, 2019 RGB‐depth (RGB‐D) cameras are widely used for 3D reconstruction or human–computer interaction. To simultaneously acquire colour and depth images of an object in widely separated viewpoints, multiple RGB‐D cameras are required.
J.W. Jang, Y.C. Kwon, W. Hwang, O. Choi
doaj +1 more source
A Robust Calibration Method for Consumer Grade RGB-D Sensors for Precise Indoor Reconstruction
IEEE Access, 2019 RGB-D cameras, which can be attached to any mobile device and work under different operation platforms (e.g., iOS, Android, and Windows), have great potential for indoor 3D modeling and navigation due to their low cost and small size.
Walid Darwish +4 more
doaj +1 more source
A Robust Keyframe-Based Visual SLAM for RGB-D Cameras in Challenging Scenarios
IEEE Access, 2023 The accuracy of RGB-D SLAM systems is sensitive to the image quality, and can be significantly compromised in adverse situations such as when input images are blurry, lacking in texture features, or overexposed.
Xi Lin +6 more
semanticscholar +1 more source
Fusion in dissimilarity space for RGB-D person re-identification
Array, 2021 Person re-identification (Re-id) is the task of recognizing people across different non-overlapping sensors of a camera network. Despite the recent advances with deep learning (DL) models for multi-modal fusion, state-of-the-art Re-id approaches fail to ...
Md Kamal Uddin +4 more
doaj +1 more source
Enhancing Metric Perception with RGB-D Camera [PDF]
, 2013 Metric measurement of environment has fundamental role in tasks such as interior design and plant maintenance. Conventional methods for these tasks suffer from high development cost or unstability. We propose a mobile metric perception enhancement system which focuses on interactivity through user locomotion.
Daiki Handa +2 more
openaire +2 more sources