Wang Zengjie is an academician of the Chinese Academy of Sciences (CAS), a recipient of the National Outstanding Youth Fund, and an expert who enjoys the State Council's special governmental subsidy.
Basic Concepts of Computer Vision
Computer vision is a discipline of processing, analyzing, understanding and recognizing images or videos by using computers and digital image processing techniques. Computer vision has a wide range of applications, such as intelligent transportation, security monitoring, medical image analysis and other fields.
Operating steps of computer vision
The operating steps of computer vision mainly include image acquisition, image preprocessing, feature extraction, feature matching, target detection and recognition, and so on.
Image Acquisition
Image acquisition is the first step of computer vision, mainly through the camera, scanner, radar and other equipment to obtain images or video.
Image Preprocessing
Image preprocessing refers to the processing of the image such as denoising, smoothing, enhancement, geometric correction, and so on, in order to improve the quality and accuracy of the image.
Feature Extraction
Feature extraction is the core step of computer vision, which mainly extracts the features that represent the target, such as edges, corners, textures, etc., from the image.
Feature Matching
Feature matching is to match the extracted features to determine the position and pose of the target in the image.
Target Detection
Target detection is the detection of the position and number of targets in an image, such as face detection, vehicle detection, etc.
Target Recognition
Target recognition refers to the identification of detected targets with known targets, such as face recognition, vehicle recognition, etc.
Contributions of Zengjie Wang
Zengjie Wang has made many contributions in the field of computer vision, mainly including the following:
Vision-based human-computer interaction technology
Zengjie Wang proposed vision-based human-computer interaction technology, which realizes the natural interaction between humans and machines by recognizing and understanding human gestures, expressions, etc. and makes important contributions to the human-computer interaction field's development of the field of human-computer interaction.
Image Recognition Based on Deep Learning
Wang Zengjie has also done a lot of research in the field of deep learning, and he proposed an image recognition method based on deep learning, which realizes automatic recognition and classification of images by learning from a large amount of image data, and makes an important contribution to the development of the image processing field.
Target Detection Based on Multiscale Analysis
Wang Zengjie also proposed a target detection method based on multiscale analysis, which realizes fast detection and recognition of targets through multiscale analysis and feature extraction of images, and makes important contributions to the development of the field of computer vision.