Results 211 to 220 of about 24,057 (250)

RGB-D DSO: Direct Sparse Odometry With RGB-D Cameras for Indoor Scenes

IEEE Transactions on Multimedia, 2022
Visual odometry (VO) is a fundamental building block for many robotics and augmented reality (AR) applications. However, most existing RGB-D VO systems could suffer from large performance degradation when large occlusions are present or a large portion of depth values are invalid due to the limited range of an RGB-D camera, prohibiting the usage of ...
Zikang Yuan, Ken Cheng, Jinhui Tang 0001, Xin Yang 0008   +3 more
openaire   +1 more source

Towards an omnidirectional catadioptric RGB-D camera

2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2016
In this paper we address the 3D reconstruction of points, on a non-central catadioptric system, composed by a mirror, a projector, and a perspective camera. The goal of the paper is to propose a framework to build an omnidirectional depth camera, towards an omnidirectional RGB-D camera system.
José Pedro Iglesias, Pedro Miraldo, Rodrigo Ventura 0001   +2 more
openaire   +1 more source

Depth Error Elimination for RGB-D Cameras

ACM Transactions on Intelligent Systems and Technology, 2015
The rapid spreading of RGB-D cameras has led to wide applications of 3D videos in both academia and industry, such as 3D entertainment and 3D visual understanding. Under these circumstances, extensive research efforts have been dedicated to RGB-D camera--oriented topics.
Yue Gao 0002, You Yang 0002, Yi Zhen, Qionghai Dai   +3 more
openaire   +1 more source

Image retargeting using RGB-D camera

Multimedia Tools and Applications, 2014
Forimage retargeting, most approaches only use color information to tackle this problem. In this paper, we analyze both color and depth information captured by a RGB-D camera to maintain the structure and preserve important regions. Particularly, we present a content-aware image retargeting algorithm based on depth information.
Wei-Yang Lin, Chih-Fong Tsai, Pei-Chen Wu, Bo-Rong Chen   +3 more
openaire   +1 more source

Evaluating the efficacy of RGB-D cameras for surveillance

2015 IEEE International Conference on Multimedia and Expo (ICME), 2015
RGB-D cameras have enabled real-time 3D video processing for numerous computer vision applications, especially for surveillance type applications. In this paper, we first present a real-time anti-forensic 3D object stream manipulation framework to capture and manipulate live RBG-D data streams to create realistic images/videos showing individuals ...
Suraj Raghuraman, Kanchan Bahirat, Balakrishnan Prabhakaran 0001   +2 more
openaire   +1 more source

A Video Retargeting Technique for RGB-D Camera

2014
This paper presents a content aware video retargeting technique with the help of an RGB-D camera based on the detection of saliency objects. The content aware image resizing algorithm requires some energy terms to separate the main contents and the background.
Huei-Yung Lin, Chin-Chen Chang 0002, Jhih-Yong Huang   +2 more
openaire   +1 more source

3-D Mapping With an RGB-D Camera

IEEE Transactions on Robotics, 2014
In this paper, we present a novel mapping system that robustly generates highly accurate 3-D maps using an RGB-D camera. Our approach requires no further sensors or odometry. With the availability of low-cost and light-weight RGB-D sensors such as the Microsoft Kinect, our approach applies to small domestic robots such as vacuum cleaners, as well as ...
Felix Endres, Jürgen Hess 0001, Jürgen Sturm, Daniel Cremers, Wolfram Burgard   +4 more
openaire   +1 more source

Using a RGB-D camera for 6DoF SLAM

2012
This paper presents a method for fast calculation of the egomotion done by a robot using visual features. The method is part of a complete system for automatic map building and Simultaneous Localization and Mapping (SLAM). The method uses optical flow in order to determine if the robot has done a movement.
Jose Muñoz, Daniel Pastor 0003, Pablo Gil, Santiago T. Puente, Miguel Cazorla   +4 more
openaire   +2 more sources

Automatic objects segmentation with RGB-D cameras

Journal of Visual Communication and Image Representation, 2014
Automatic object segmentation is a fundamentally difficult problem due to issues such as shadow, lighting, and semantic gaps. Edges play a critical role in object segmentation; however, it is almost impossible for the computer to know which edges correspond to object boundaries and which are caused by internal texture discontinuities.
Haowei Liu, Matthai Philipose, Ming-Ting Sun   +2 more
openaire   +1 more source

Real-time RGB-D camera relocalization

2013 IEEE International Symposium on Mixed and Augmented Reality (ISMAR), 2013
We introduce an efficient camera relocalization approach which can be easily integrated into real-time 3D reconstruction methods, such as KinectFusion. Our approach makes use of compact encoding of whole image frames which enables both online harvesting of keyframes in tracking mode, and fast retrieval of pose proposals when tracking is lost.
Ben Glocker, Shahram Izadi, Jamie Shotton, Antonio Criminisi   +3 more
openaire   +1 more source