Age-estimation of a face of an individual is represented in image data. In one embodiment, age-estimation techniques involves combining a Contourlet Appearance Model (CAM) for facial-age feature extraction and Support Vector Regression (SVR) for learning aging rules in order to improve the accuracy of age-estimation over the current techniques. In a particular example, characteristics of input facial images are converted to feature vectors by CAM, then these feature vectors are analyzed by an aging-mechanism-based classifier to estimate whether the images represent faces of younger or older people prior to age-estimation, the aging-mechanism-based classifier being generated in one embodiment by running Support Vector Machines (SVM) on training images. In an exemplary binary youth/adult classifier, faces classified as adults are passed to an adult age-estimation function and the others are passed to a youth age-estimation function.

Face Age-Estimation and Methods, Systems, and Software Therefor

The invention discloses a fusion method of an infrared image and a visible light dynamic image and a fusion device of the infrared image and the visible light dynamic image and belongs to the image processing field. The image fusion method comprises calculating an image registration parameter; collecting the infrared image and the visible light image respectively and carrying out image registration to the infrared image and the visible light image according to the image registration parameter; and carrying out image fusion to the infrared image and the visible light image after the image registration are carried out to the infrared image and the visible light image. Due to the fact that in a image fusion process of the infrared image and the visible light image, the image registration is achieved according to the image registration parameter, the calculated amount of numerical value change is decreased greatly, calculating speed is improved, and further speed of the image fusion is improved, and real-time requirements of image processing are met.

Fusion method of infrared image and visible light dynamic image and fusion device of infrared image and visible light dynamic image

The invention relates to a video integration system, and provides a communication protocol of a computer serial port control console and a novel infrared and visible video integration processing system. The novel infrared and visible video integration processing system comprises a console control portion, a camera video acquisition portion, a video integration portion and an integration displaying portion. A vc++ coding controlling and displaying interface is utilized, and the opencv (open source computer vision library) is introduced to process video images, and then an integration result is displayed. Console control includes the control of upward rotation, downward rotation, leftward rotation, right rotation and rotating speed, a thermal infrared imager and a visible light camera are utilized in the camera video acquisition portion to acquire two video information, and zoom and the like of the camera can be controlled via a control interface. By means of a novel visible light and infrared image registration method, the infrared and visible video integration system is simple and quick, and instantaneity of the infrared and visible video integration system which is simple and quick is strengthened. Since the infrared image and visible light image can greatly compensate mutually, the infrared and visible video integration system is high in practicability, good in integration effect and wide in application.

Infrared and visible video integration system

LED supplementary lighting and image clipping evaluation system in standard image acquisition device

The invention discloses an image fusion method based optical non-down sampling contourlet transform, which comprises the following steps: respectively carrying out optical non-down sampling contourlet transform on an infrared image and a visible light image to obtain a first numerical result and a second numerical result, the first numerical result is obtained by carrying out the non-down sampling contourlet transform on the infrared image, and the second numerical result is obtained by carrying out non-down sampling contourlet transform on the visible light image; carrying out fusion decision-making treatment on the first numerical result and the second numerical result to obtain a third numerical result, which is obtained by carrying out non-down sampling contourlet transform on the fused image; and carrying out non-down sampling contourlet transform on the third numerical result to obtain the fused image. The invention also discloses an image fusion device which comprises an optical non-down sampling contourlet transform module, a fusion decision-making module and a non-down sampling contourlet inverse transform module. The invention greatly reduces the amount of calculation so as to increase the image fusion speed, and thus satisfying the real-time requirement.

Image fusion method and device based on optical non-down sampling contourlet transform

The invention relates to a face recognition method based on optics nonsubsampled Contourlet conversion; the device for the method comprises an optics nonsubsampled Contourlet conversion module, a feature extraction module and a pattern classification module; firstly, nonsubsampled Contourlet conversion is realized for face picture by the optics nonsubsampled Contourlet conversion module to obtainthe numerical result of face picture nonsubsampled Contourlet conversion; then, the feature extraction module extracts the features such as outline and posture of the face, and organs such as eyes, noses, mouth and the like from the numerical result of face picture nonsubsampled Contourlet conversion; finally, the pattern classification module carries out similarity comparison between the extracted face features and features of standard face picture to obtain face recognition result. The face recognition method provided by the invention can be used in numerous fields such as secret informationaccess control, registered residence and identity card management, entrance guard control system and the like. Compared with traditional face recognition method, the invention can improve face recognition speed.

Hengli Pu

Papers

Face recognition method based on optics nonsubsampled Contourlet conversion

Image fusion method and device based on optical non-down sampling contourlet transform