Results 211 to 220 of about 66,471 (262)

RGB × D: Learning depth-weighted RGB patches for RGB-D indoor semantic segmentation

Neurocomputing, 2021
Jinming Cao, Daniel Cohen-Or, Dani Lischinski   +2 more
exaly   +2 more sources

???????????????????????? ?????????????? ?????? ?????????????????? ?????????????????????????? ?????????????????? RGB-?????????????????? ?????? ??????????

2011
???????????????????????? ???????????????????? ???????????????????????? ?????????????? ?????? ???????????????????? ???????????????????????? ???????????????????????? ?????????????????? RGB-?????????????????? ?????? ??????????. ?????????????? ???????????????? ???????????????????? ???????????? ?????????????????? ?? ?????????????????? ?????????????? ????????
  +10 more sources

RGB Subdivision

IEEE Transactions on Visualization and Computer Graphics, 2009
We introduce the RGB Subdivision: an adaptive subdivision scheme for triangle meshes, which is based on the iterative application of local refinement and coarsening operators, and generates the same limit surface of the Loop subdivision, independently on the order of application of local operators.
PUPPO, ENRICO, D. PANOZZO
openaire   +2 more sources

Child Action Recognition in RGB and RGB-D Data

Companion of the 2020 ACM/IEEE International Conference on Human-Robot Interaction, 2020
The paper presents an ongoing work that aims for real-time action recognition specifically tailored for child-centered research. To this end, we collected and annotated a dataset of 200 primary school children aged 6 to 11 years old. Each child was asked to perform seven actions: boxing, waving, clapping, running, jogging, walking towards the camera ...
Aizada Turarova, Aida Zhanatkyzy, Zhansaule Telisheva, Arman Sabyrov, Anara Sandygulova   +4 more
openaire   +1 more source

Toward a Unified Framework for RGB and RGB-D Visual Navigation

2023
In object-goal navigation, an agent is steered toward a target object based on its observations. The solution pipeline is usually composed of scene representation learning and navigation policy learning: the former reflects the agent observation, and the latter determines the navigation action.
Heming Du, Zi Huang, Scott C. Chapman, Xin Yu 0002   +3 more
openaire   +2 more sources

Domain adaptation from RGB-D to RGB images

Signal Processing, 2017
The introduction of depth cameras offers an opportunity to utilize the depth images to help the object recognition tasks. However, when our target tasks are classifying RGB images, how can we use the RGB-D images? To deal with this problem, we proposed a novel domain adaptation method by learning from RGB-D images in source domain to recognize RGB ...
Xiao Li 0008, Min Fang, Jujie Zhang, Jinqiao Wu 0001   +3 more
openaire   +1 more source

Developments in RGB Photoelasticity

Applied Mechanics and Materials, 2006
In this paper the combined use of both RGB and phase stepping photoelasticity is proposed. The method is characterised by the following features: maximum measurable order greater than that of the RGB method, ability to determine the total fringe order without necessity of unwrapping.
AJOVALASIT, Augusto, PETRUCCI, Giovanni
openaire   +1 more source

Recognizing RGB Images by Learning from RGB-D Data

2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014
In this work, we propose a new framework for recognizing RGB images captured by the conventional cameras by leveraging a set of labeled RGB-D data, in which the depth features can be additionally extracted from the depth images. We formulate this task as a new unsupervised domain adaptation (UDA) problem, in which we aim to take advantage of the ...
Lin Chen 0021, Wen Li 0001, Dong Xu 0001
openaire   +1 more source

RGB-D-λ: 3D Multispectral Acquisition with Stereo RGB Cameras

Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, 2016
In this paper we report some key questions related to the acquisition of accurate color images adressed by the Colour and Space in Cultural Heritage (COSCH) project. We summarize the main criteria defined by COSCH Working Group 1 and used by the authors to help Digital Cultural Heritage (DCH) users to have a deepen knowledge and understanding of the ...
SCHETTINI, RAIMONDO, BIANCO, SIMONE, Trémeau, A.   +2 more
openaire   +1 more source

Learning Coupled Classifiers with RGB images for RGB-D object recognition

Pattern Recognition, 2017
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Xiao Li 0008, Min Fang, Jujie Zhang, Jinqiao Wu 0001   +3 more
openaire   +2 more sources