官术网_书友最值得收藏!

Face and object recognition

Face recognition refers to identifying the person in a given image. This is not the same as face detection, where you simply identify the location of a face in the given image.

If you want to build a practical biometric system that can recognize the person in front of the camera, you first need to run a face detector to identify the location of the face, and then run a separate face recognizer to identify who the person is. There is an OpenCV module called face that deals with face recognition.

As we discussed earlier, computer vision tries to model algorithms based on how humans perceive visual data. So, it would be helpful to find salient regions and objects in the images that can help with different applications such as object recognition, object detection and tracking, and so on. There is a module called saliency that's designed for this purpose. It provides algorithms that can detect salient regions in static images and videos.

主站蜘蛛池模板: 平和县| 大同县| 吉木萨尔县| 新密市| 石棉县| 渝中区| 益阳市| 高安市| 临城县| 米林县| 冷水江市| 富阳市| 聂拉木县| 河曲县| 天等县| 兴城市| 安仁县| 措美县| 陈巴尔虎旗| 吐鲁番市| 将乐县| 罗定市| 金溪县| 郑州市| 昌邑市| 汶川县| 绥宁县| 龙山县| 新建县| 毕节市| 民勤县| 塘沽区| 二连浩特市| 安图县| 崇仁县| 巴林左旗| 安义县| 茂名市| 阳谷县| 丰县| 巴彦淖尔市|