KOSEN 한인과학기술자네트워크

? Computer Vision

Computer vision is about acquiring and interpreting the rich visual world around us. A theme in the development of this field has been to duplicate the abilities of human vision by electronically perceiving and understanding an image. Problems in this field include reconstructing the 3D shape of an environment, determining how things are moving, and recognizing people and objects and their activities, all through analysis of images and videos. Main areas of our laboratory are as follows.

3D Reconstruction
Segmentation in Multiple views
Realistic Panorama
? Pattern Recognition
Pattern recognition refers to the process of recognizing a set of stimuli arranged in a certain pattern that is characteristic of that set of stimuli. It does not occur instantly, although it does happen automatically and spontaneously. Examples of applications are Optical Character Recognition, Biometrics(face recognition, verification, finger prints recognition), diagnostic systems(X-Ray analysis, waster detection), and military applications(automated target recognition). Main areas of our laboratory are as follows.

Face Detection
License Plate Recognition
? Image Compression
The objective of image compression is to reduce irrelevance and redundancy of the image data in order to be able to store or transmit data in an efficient form. Some of the finer details in the images can be sacrificed for the sake of saving a little more bandwidth or storage space. Images need not be reproduced ‘exactly’. An approximation of the original image is enough for most purposes, as long as the error between the original and the compressed image is tolerable.

3D Object Coding