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Online 3-D Modeling of Complex Workpieces for the Robotic Spray Painting With Low-Cost RGB-D Cameras

IEEE Transactions on Instrumentation and Measurement, 2021
The 3-D model of workpieces plays a significant role in robotic spray painting, which needs the geometry and shape information for painting-path planning or pose estimation.
Jun-Hui Ge   +7 more
semanticscholar   +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 ...
Daniel Cremers   +2 more
exaly   +3 more sources

Research on 3D surface reconstruction and body size measurement of pigs based on multi-view RGB-D cameras

Computers and Electronics in Agriculture, 2020
Body measurement is an important technique to acquire the livestock body parameters for precision agriculture and effective management of livestock. Traditionally, the livestock body parameters are often manually measured, which suffers from several ...
Shuai Shi   +7 more
semanticscholar   +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   +2 more
openaire   +2 more sources

Modeling hair from an RGB-D camera

ACM Transactions on Graphics, 2018
Creating realistic 3D hairs that closely match the real-world inputs remains challenging. With the increasing popularity of lightweight depth cameras featured in devices such as iPhone X, Intel RealSense and DJI drones, depth cues can be very helpful in consumer applications, for example, the Animated Emoji.
Meng Zhang   +5 more
openaire   +2 more sources

Multimodal Person Reidentification Using RGB-D Cameras

IEEE Transactions on Circuits and Systems for Video Technology, 2016
Person reidentification consists of recognizing individuals across different sensors of a camera network. Whereas clothing appearance cues are widely used, other modalities could be exploited as additional information sources, like anthropometric measures and gait.
Federico Pala   +3 more
semanticscholar   +5 more sources

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   +2 more
openaire   +2 more sources

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   +2 more
openaire   +2 more sources

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   +4 more
openaire   +3 more sources

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   +3 more
openaire   +2 more sources

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