Results 241 to 250 of about 85,203 (280)

Pupil detection in video images

SPIE Proceedings, 2011
Video based pupil detection techniques are useful for Perceptual user interfaces and human monitoring. Pupil detection plays a vital role in identification systems. This paper presents an algorithm for pupil detection in video images under active infrared (IR) illumination. At first, using a low pass filter the eyelashes are removed.
Amir Liaghatdar, Kaveh Kangarloo, Fardad Farokhi   +2 more
openaire   +1 more source

Detection of the Pupil Eigenvalues in Medicine

2010 International Conference on Computational and Information Sciences, 2010
In order to detect the pupil for medical needs, An algorithm was proposed to obtain the pupil eigenvalues, which was based on pupil geometry and gray features, and used mathematical morphology operations. Firstly, depending on the gray scale features of pupil, the rough center of pupil was determined by gray projection. Then, based on the rough center,
Hongjin Yan, Yonglin Zhang
openaire   +1 more source

Detection of the pupil constriction latency

Medical & Biological Engineering & Computing, 1991
Two methods to accurately determine the moment of pupil constriction onset are discussed. For data sampled at a high rate (approximately 200 Hz) pupil velocity deviations from zero can simply be used, giving a satisfactory inaccuracy of about 5 ms. For data sampled at a low rate (less than 50 Hz), e.g.
openaire   +3 more sources

Pupil detection in photo ID

SPIE Proceedings, 2004
This paper presents a novel algorithm for locating pupils in a portrait image for ID card application. The proposed algorithm composed of three steps; skin detection, eye detection, and pupil detection. Skin detection for reducing the region of interest employs three modified single Gaussian skin models. In the second step, candidates of horizontal and
openaire   +1 more source

An experimental study of pupil constriction for liveness detection

2013 IEEE Workshop on Applications of Computer Vision (WACV), 2013
As iris recognition systems have been deployed in many security areas, liveness detection that can distinguish between real iris patterns and fake ones becomes an important module. Most existing algorithms focus on the appearance difference between real and fake iris (for example, printed patterns, cosmetic contact lenses etc.) which is a very ...
Xinyu Huang 0001, Changpeng Ti, Qi-zhen Hou, Alade Tokuta, Ruigang Yang   +4 more
openaire   +1 more source

Pupil center detection in low resolution images

Proceedings of the 2010 Symposium on Eye-Tracking Research & Applications - ETRA '10, 2010
In some situations, high quality eye tracking systems are not affordable. This generates the demand for inexpensive systems built upon non-specialized, off the shelf devices. Investigations show that algorithms developed for high resolution systems do not perform satisfactorily on such lowcost and low resolution systems.
Detlev Droege, Dietrich Paulus
openaire   +1 more source

An efficient parallel approach using OpenCL for pupil detection and pupil size measurement

2017 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS), 2017
Pupil detection techniques based on video camera are useful for human monitoring and machine-human interface devices. For example, PD can be used in the field of noninvasive intracranial pressure monitor, fatigue detection etc. During the pupil detection process, image pixels can dramatically influence the detection speed, especially when two cameras ...
Gang He
exaly   +2 more sources

IRIS Segmentation: Detecting Pupil, Limbus and Eyelids

2006 International Conference on Image Processing, 2006
This paper presents an active contour model to accurately detect pupil boundary in order to improve the performance of iris recognition systems. The contour model takes into consideration that an actual pupil boundary is a near-circular contour rather than a perfect circle.
Ehsan Mohammadi Arvacheh, Hamid R. Tizhoosh   +1 more
openaire   +1 more source

MPB: Multi-Peak Binarization for Pupil Detection

2020
Automatic pupil detection is a fundamental part of eye-related tasks like eye tracking, gaze estimation and eye movement identification. Especially, in ophthalmology, to provide assistance and fulfil the demand of diagnosis and treatment, an accurate and real-time algorithm is required.
Chengkun He, Xiangmin Zhou, Chen Wang 0008   +2 more
openaire   +1 more source

A robust algorithm for pupil center detection

2011 6th IEEE Conference on Industrial Electronics and Applications, 2011
The existing pupil center detection algorithms have fine performance for the ideal eye images. However, the captured eye images are often influenced by various conditions, such as eyelashes, hair, luminance, glasses and so on. In order to detect pupil center under disturbed conditions, this paper proposes a novel algorithm based on radial symmetry ...
Bei Yan, Jianhua Li, Sha Liu, Haiwen Yuan   +3 more
openaire   +1 more source