Results 211 to 220 of about 15,415 (252)
Long-wave infrared imaging for respiratory rate measurement in a patient with amyotrophic lateral sclerosis: A case report. [PDF]
Kim J +5 more
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3DLF-Scan dataset: Multi-sensor 3D light-field and structured-light scans of 3D-printed Stanford figures. [PDF]
Vodianyk B, Popov A, Nava-Baro E.
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Comparison of RGB-D sensors for 3D reconstruction
2020 22nd Symposium on Virtual and Augmented Reality (SVR), 2020The use of low-cost RGB-D sensors became popular with the release of Microsoft Kinect V1, in 2010. From that time on, different companies such as ASUS, Orbbec, and Intel have developed their solutions for capturing 3D data. This work proposes an analysis of how well 10 RGB-D sensors perform while applied to a 3D reconstruction task.
José Gomes da Silva Neto +4 more
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Blendshapes from commodity RGB-D sensors
ACM SIGGRAPH 2015 Talks, 2015Creating and animating a realistic 3D human face is an important task in computer graphics. The capability of capturing the 3D face of a human subject and reanimate it quickly will find many applications in games, training simulations, and interactive 3D graphics.
Dan Casas +8 more
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Gesture recognition for moving RGB-D sensor
IEEE ISR 2013, 2013Many studies have been conducted to achieve natural interaction between robots and humans. Except for a few works, however, most gesture recognition algorithms are designed with an assumption that the sensor does not move. To resolve this problem, we propose an algorithm that can robustly recognize gestures while the robot is moving.
Hanguen Kim +5 more
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Visual Understanding with RGB-D Sensors
ACM Transactions on Intelligent Systems and Technology, 201510.1145/2732265 ; ACM Transactions on Intelligent Systems and Technology ; 6 ...
Hong, Richang +2 more
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Texture Mapping for 3D Reconstruction with RGB-D Sensor
2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2018Acquiring realistic texture details for 3D models is important in 3D reconstruction. However, the existence of geometric errors, caused by noisy RGB-D sensor data, always makes the color images cannot be accurately aligned onto reconstructed 3D models.
Yanping Fu +4 more
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An Object Recognition Method Using RGB-D Sensor
2013 2nd IAPR Asian Conference on Pattern Recognition, 2013To recognize objects within narrow categories, it is important to extract effective features from small number of training samples. In this paper, first we discuss several depth features to improve object recognition accuracy. After that, we also discuss feature dimension reduction when we have insufficient training samples.
Daisuke Maeda, Masakazu Morimoto
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Accuracy Evaluation of SLAM Algorithms in RGB-D Sensors
2020 5th South-East Europe Design Automation, Computer Engineering, Computer Networks and Social Media Conference (SEEDA-CECNSM), 2020Since visualization is a powerful technique to reinforce human cognition, real time robots can be used to study its environment to make a map or a model. Mapping is a fundamental task in navigation through unknown environments. Due to its increased application in robotics, surveillance, tracking system used in security and many other areas researchers ...
Hasitha Nanayakkara +3 more
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Mobile Robot Localization with Kinect RGB-D Sensor
Proceedings of Conference on Advances In Robotics, 2013We propose a method for performing localization of a mobile robot using a Microsoft Kinect RGB-D sensor. We make use of artificial landmarks placed at known locations in the environment. The robot tries to locate these landmarks based upon their color and shape and in turn, measure the range and bearing to the same. The range and bearing information so
Gurjap Singh +2 more
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