Zobrazeno 1 - 10
of 30
pro vyhledávání: '"Joongrock Kim"'
Publikováno v:
Sensors, Vol 15, Iss 1, Pp 1022-1046 (2015)
Vision-based hand gesture interactions are natural and intuitive when interacting with computers, since we naturally exploit gestures to communicate with other people. However, it is agreed that users suffer from discomfort and fatigue when using ges
Externí odkaz:
https://doaj.org/article/5a1585949edd4388a28f34ad4dce4fa2
Publikováno v:
Sensors, Vol 14, Iss 4, Pp 6279-6301 (2014)
In this paper, a noble nonintrusive three-dimensional (3D) face modeling system for random-profile-based 3D face recognition is presented. Although recent two-dimensional (2D) face recognition systems can achieve a reliable recognition rate under cer
Externí odkaz:
https://doaj.org/article/033979482d7f49b2b3d2381d4bd38a2b
Publikováno v:
Sensors, Vol 13, Iss 10, Pp 12804-12829 (2013)
This paper presents a novel three-dimensional (3D) multi-spectrum sensor system, which combines a 3D depth sensor and multiple optical sensors for different wavelengths. Various image sensors, such as visible, infrared (IR) and 3D sensors, have been
Externí odkaz:
https://doaj.org/article/4ffa77330e7148a0acbf72028c09210c
Publikováno v:
Sensors, Vol 12, Iss 10, Pp 12870-12889 (2012)
In this paper, we focus on the problem of the accuracy performance of 3D face modeling techniques using corresponding features in multiple views, which is quite sensitive to feature extraction errors. To solve the problem, we adopt a statistical mode
Externí odkaz:
https://doaj.org/article/5cf7086589a941e896ed7f87158daf7b
Publikováno v:
Pattern Recognition. 61:139-152
Ever since the availability of real-time three-dimensional (3D) data acquisition sensors such as time-of-flight and Kinect depth sensor, the performance of gesture recognition can be largely enhanced. However, since conventional two-dimensional (2D)
Autor:
Changyong Yoon, Joongrock Kim
Publikováno v:
The International Journal of Fuzzy Logic and Intelligent Systems. 16:131-139
Recognition of human motions has become a main area of computer vision due to its potential human-computer interface (HCI) and surveillance. Among those existing recognition techniques for human motions, head detection and tracking is basis for all h
Publikováno v:
Sensors, Vol 15, Iss 1, Pp 1022-1046 (2015)
Sensors
Volume 15
Issue 1
Pages 1022-1046
SENSORS(15): 1
Sensors (Basel, Switzerland)
Sensors
Volume 15
Issue 1
Pages 1022-1046
SENSORS(15): 1
Sensors (Basel, Switzerland)
Vision-based hand gesture interactions are natural and intuitive when interacting with computers, since we naturally exploit gestures to communicate with other people. However, it is agreed that users suffer from discomfort and fatigue when using ges
Publikováno v:
Sensors, Vol 14, Iss 4, Pp 6279-6301 (2014)
Sensors (Basel, Switzerland)
Sensors
Volume 14
Issue 4
Pages 6279-6301
Sensors (Basel, Switzerland)
Sensors
Volume 14
Issue 4
Pages 6279-6301
In this paper, a noble nonintrusive three-dimensional (3D) face modeling system for random-profile-based 3D face recognition is presented. Although recent two-dimensional (2D) face recognition systems can achieve a reliable recognition rate under cer
Publikováno v:
SENSORS(13): 10
Sensors (Basel, Switzerland)
Sensors, Vol 13, Iss 10, Pp 12804-12829 (2013)
Sensors; Volume 13; Issue 10; Pages: 12804-12829
Sensors (Basel, Switzerland)
Sensors, Vol 13, Iss 10, Pp 12804-12829 (2013)
Sensors; Volume 13; Issue 10; Pages: 12804-12829
This paper presents a novel three-dimensional (3D) multi-spectrum sensor system, which combines a 3D depth sensor and multiple optical sensors for different wavelengths. Various image sensors, such as visible, infrared (IR) and 3D sensors, have been
Publikováno v:
Optics Communications. 285:5019-5028
In this paper, we propose a novel thermal three-dimensional (3D) modeling system that includes 3D shape, visual, and thermal infrared information and solves a registration problem among these three types of information. The proposed system consists o