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High-robustness real-time visual line detection method

A line-of-sight detection and high-robust technology, which is applied in the directions of instruments, character and pattern recognition, acquisition/recognition of eyes, etc., can solve problems that are difficult to be widely used, achieve low calculation cost, improve accuracy, improve accuracy and robustness Effect

Inactive Publication Date: 2018-07-10
ZHEJIANG UNIV
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Problems solved by technology

However, this type of method needs to be equipped with specific imaging equipment, and it is difficult to be widely used in real life.

Method used

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  • High-robustness real-time visual line detection method
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Embodiment Construction

[0042] The present invention will be further described below in conjunction with the technical scheme and accompanying drawings.

[0043] Such as figure 1 As shown, a kind of highly robust real-time line of sight detection method of the present invention comprises the following steps:

[0044] 1) Detect 68 feature points of the face in the image by the face feature point detection algorithm, such as figure 2 shown;

[0045] 2) After detecting the feature points of the face, use the double-circle activity model to obtain the iris center position;

[0046] 3) After detecting the feature points of the face, use the method of taking the average position to obtain the reference point position, and combine it with the iris center position to calculate the "eye vector";

[0047] 4) Obtain the estimation of the head posture;

[0048] 5) Utilize the regression algorithm to obtain the mapping function related to the "eye vector" and the head posture, and use the mapping function to...

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Abstract

The invention discloses a high-robustness real-time visual line detection method, and the method can be used for carrying out the real-time tracking and dynamic detection of a visual line of human eyes through a camera. The method comprises the steps: detecting the accurate position of an iris center through a double-circle moving model obtained through the initialization of the priori knowledge of a human eye structure; employing a stable human face feature point detection method for detection and recalculation, obtaining the precise position of a reference point, and combining the precise position of the reference point with the position of the iris center to obtain an eye vector; carrying out the second-order mapping of the eye vector and the posture of a head, and obtaining the coordinates of a position pointed by the visual line; and finally carrying out the weighted summation of the position coordinates obtained through the calculation of the left and right eyes via weight coefficients, thereby improving the detection accuracy. The method achieves the precise detection of the position of the iris center and the position of the reference point, is not large in calculation burden, can achieve the real-time detection of the visual line, enables a system to be low in cost and to be high in accuracy, and is very high in practical value.

Description

technical field [0001] The invention relates to the fields of pattern recognition, image processing and human-computer interaction, in particular to a highly robust real-time line of sight detection method. Background technique [0002] Gaze detection is a human-computer interaction technology that can help computers achieve convenient and efficient interactions with human users. Human-computer interaction has always been the focus of attention in the computer field. Good human-computer interaction technology will greatly improve the user experience of electronic products and improve product advantages. Moreover, with the development of human-computer interaction technology, life will become more intelligent and automated, and work will become more efficient and convenient. At present, it is widely used in virtual reality, augmented reality, and online shopping and advertising. An accurate and real-time line-of-sight detection technology will greatly reduce the threshold o...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/46
CPCG06V40/165G06V40/171G06V40/193G06V40/18G06V10/464
Inventor 韦东旭沈海斌
Owner ZHEJIANG UNIV
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