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Intelligent Media Lab

The goal of Intelligent Media Lab. is to study and develop a variety of intelligent systems with human-like intelligence. For doing this, we are focused on studying several basic techniques such as 1) Digital Image and Video Processing, 2) Pattern Recognition, 3) Computer Vision, 4) Computational Intelligence, 5) Machine Learning, 6) Deep Learning and 7) Graphical Models.

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Intelligent Media Lab | imlab.postech.ac.kr Reviews

https://imlab.postech.ac.kr

The goal of Intelligent Media Lab. is to study and develop a variety of intelligent systems with human-like intelligence. For doing this, we are focused on studying several basic techniques such as 1) Digital Image and Video Processing, 2) Pattern Recognition, 3) Computer Vision, 4) Computational Intelligence, 5) Machine Learning, 6) Deep Learning and 7) Graphical Models.

INTERNAL PAGES

imlab.postech.ac.kr imlab.postech.ac.kr
1

Intelligent Media Lab

http://imlab.postech.ac.kr/members.htm

Office: Room 223, Eng. Bldg. 2. Email: dkim@[NOSPAM]postech.ac.kr. 2007 - present Professor, Dept. of Computer Science and Engineering, POSTECH. 1999 - 2006 Associate Professor, Dept. of Computer Science and Engineering, POSTECH. 1992 - 1999 Associate Professor, Dept. of Computer Engineering, DongA University. 1988 - 1991 Research Assistant and Part-time Research Engineer, Environmental Science and Foreast, SUNY. 1987 - 1991 Ph. D., Electrical and Computer Engineering, Syracuse University. Homepage: http...

2

Intelligent Media Lab

http://imlab.postech.ac.kr/patents.htm

조명변화에 강인한 얼굴 검출방법. 3차원 실린더 헤드 모델을 이용한 얼굴 제스처 인식기술. 실시간 정확한 얼굴 검출 장치 및 방법. 얼굴 위장 판별 방법. 얼굴 특징점 추출 장치 및 그 방법, 머리카락 추출 장치 및 그 방법, 실사 캐릭터 생성 시스템 및 그 방법. 실물 인식을 이용한 얼굴 인식 시스템 및 방법. 눈 검증 및 눈 위치 보정을 이용한 눈 검출 방법. 얼굴 인식 시스템 및 방법. 스테레오 영상을 이용한 사람 검출 방법. 상호 정보 최대화 기반의 국부 이진 패턴 코드를 이용한 패턴 인식 방법, 장치 및 그 기록 매체. 계층적인 구조의 영상 모델 을 이용한 3차원 영상 생성 방법과 장치, 이를 이용한 인식 방법과 특징점 추출 방법 그리고 상기 방법들을 수행하는 프로그램이 기록된 매체. Combined Lip Reading and Voice Recognition Multimodal Interface System. 3차원 공간에서의 사람 움직임 추적 및 장치. 정면 얼굴 영상 생성 장치 및 방법.

3

Intelligent Media Lab

http://imlab.postech.ac.kr/databases.htm

Face Database 2001 (FD01). 103 people x 5 illuminations x 4 expressions x 8 poses. Face recognition, Facial expression recognition. Camera: digital camera,the Sony DSC-F505V. Male: m [person index] [variation index]. Female: w [person index] [variation index]. 2 5: illumination ( Up, Down, Left, Right ). 6 13: pose ( Direction of 45 degree increment, counterclockwise ). 14 17: expression ( Happy, Surprised, Irritated, Closed-eye ). All of the volunteers are Asian people. 17 various images per person.

4

Intelligent Media Lab

http://imlab.postech.ac.kr/publications.htm

Accurate Abandoned and Removed Object Classification Using Hierarchical Finite State Machine. Jiman Kim and Daijin Kim,. Image and Vision Computing. ISSN 0262-8856, vol. 44, pp. 1-14, 2015. ACCURATE HUMAN POSE ESTIMATION BY AGGREGATIONG MULTIPLE POSE HYPOTHESES USING MODIFIED KERNEL DENSITY APPROXIMATION. Eunji Cho, Daijin Kim,. IEEE Signal Processing Letters. ISSN 1070-9908, vol. 22, no. 4, pp. 445-449, 2014. HYBRID APPROACH FOR FACIAL FEATURE DETECTION AND TRACKING UNDER OCCLUSION. IEEE Transactions on...

5

Intelligent Media Lab

http://imlab.postech.ac.kr/index.html

The goal of Intelligent Media Lab. is to study and develop a variety of intelligent systems with human-like intelligence. For doing this, we are focused on studying several basic techniques such as 1) Digital Image and Video Processing, 2) Pattern Recognition, 3) Computer Vision, 4) Computational Intelligence, 5) Machine Learning, 6) Deep Learning and 7) Graphical Models. Intelligent Media Laboratory (Room 204/206, Engineering Bldg. II). Dept of Computer Science and Engineering, POSTECH.

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Intelligent Media Lab

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