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Human face collecting method at a distance
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A face collection and long-distance technology, which is applied in the field of image processing, can solve the problems of unable to collect faces, not far enough to collect faces, and unable to take into account, and achieve the effect of solving the problem of collection distance and image quality
Inactive Publication Date: 2012-10-03
HARBIN INST OF TECH
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Problems solved by technology
[0005] The purpose of the present invention is to solve the problem that the distance of face collection in the existing face collection technology is not far enough, and the friendliness of the collection process is not enough; it is impossible to detect faces with multiple postures, such as head up, head down, sideways, back body and It is impossible to collect faces in the case of jumping; the sharpness of the collected face images and the collection distance form a pair of contradictions, and the problem that the two cannot be taken into account provides a long-distance face collection method
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specific Embodiment approach 1
[0029] Specific implementation mode one: the following combination figure 1 and image 3 Describe this embodiment, the long-distance face collection method described in this embodiment, the face collection equipment involved in this method includes PC 1, binocular camera 2, two-degree-of-freedom rotating platform 3 and telephoto camera 4, long-distance The focal camera 4 is arranged on the two-degree-of-freedom rotating platform 3, and it is characterized in that, described long-distance face collection method comprises the following steps:
[0030] Step 1, the binocular camera 2 collects the target face to determine the three-dimensional coordinates of the target face, and feeds back to the PC 1;
[0031] Step 2, PC 1 adjusts the two-degree-of-freedom rotating platform 3 according to the three-dimensional coordinate output command of the target face, so that the two-degree-of-freedom rotating platform 3 drives the telephoto camera 4 to align with the direction of the target ...
specific Embodiment approach 2
[0049] Specific implementation mode two: this implementation mode further explains implementation mode one, adopts to track target face based on condensation algorithm in step five, and the process of updating the two-dimensional pixel coordinates of target face in video is:
[0050] Step 51. Select N particles in the target face area in the current frame image of the video information to construct a particle swarm at the k-1th moment { s k - 1 ( n ) , π k - 1 ( n ) , n = 1,2 · · · N } ,
[0051] Wherein, N is a positive integer, and N=200~2000, is the coordinates of the nth parti...
specific Embodiment approach 3
[0070] Specific implementation mode three: this implementation mode further explains implementation mode two, and N=300.
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Abstract
The invention relates to a human face collecting method at a distance, belongs to the image processing field, and aims to solve the problems that human face collecting distance is not far and friendliness in a collecting process is not enough in the existing human face collecting technology. Human face collecting devices comprise a personal computer (PC), a binocular camera, a two degree-of-freedom rotating pan tilt and a telephoto camera, wherein the telephoto camera is arranged on the two degree-of-freedom rotating pan tilt. The human face collecting method at a distance includes that the PC adjusts the two degree-of-freedom rotating pan tilt according to a three-dimensional coordinate of a target human face collected by the binocular camera so as to drive the telephoto camera to align to the target human face direction and to collect video information of the target human face; if the video information is a front face, then the front face is adjusted to the central area of the current video frame image to finish the collection, and the sharpness is adjusted; and if the video information is not a front face, the collection is repeated.
Description
technical field [0001] The invention relates to a long-distance human face collection method and belongs to the field of image processing. Background technique [0002] With the development of society, the requirements for fast and efficient automatic identity verification are increasingly urgent. Because biological characteristics are the inherent attributes of human beings, they have strong self-stability and individual differences, so they are the most ideal basis for identity verification. Among them, the use of face features for identity verification is the most natural and direct means. Compared with other human biometric features, it has the characteristics of directness, goodness and convenience, and is easy to be accepted by users. [0003] The research on face recognition involves pattern recognition, image processing, physiology, psychology, cognitive science, and is closely related to identification methods based on other biological characteristics and the field...
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