Computer Vision
From Dahuawiki
This page is dedicated to my major research field - computer vision. Instead of making an encyclopaedia, we try to explore and discuss the topics that we are interested in, such as the recent advances of computer vision, representative works, and interesting papers, as well as new ideas.
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What is computer vision?
Rather than giving a definition as what the dictionaries do, here I would like to talk about my understanding of computer vision. In my view, computer vision consists of two closely related parts, the science that concerns how a computer perceives and understands the visual world, and the engineering that aims at constructing systems to acquire information from image or video.
Computer vision is a broad field, which comprises a number of areas serving different purposes. Here is the area list from ICCV 2007, which shows what are actively going on in this field.
- Sensors and Early Vision
- Color and Texture
- Segmentation and Grouping
- Motion and Tracking
- Stereo and Structure from Motion
- Image-Based Modeling
- Illumination and Reflectance Modeling
- Shape Representation
- Physics-Based Modeling
- Object Recognition
- Video Analysis and Event Recognition
- Face and Gesture
- Statistical Methods and Learning
- Performance Evaluation
- Medical Image Analysis
- Image and Video Retrieval
The nature of computer vision is interdisciplinary. It is closely related to multiple fields including algebra, statistics, geometry, physics, machine learning, and neurobiology. The boundary between computer vision and image processing, machine learning, and pattern recognition is blurred.
Despite its significant progress in the past decades, it is still a young subject and undergoing rapid evolution. A lot of problems ranging from fundamental principles and practical applications are yet to be solved. It is considered as one of the most challenging fields in computer science.
Useful Links
- Wikipedia on Computer Vision
- CVonline - On-Line Compendium of Computer Vision
- Face Recognition Home Page
Research Groups
- MIT CSAIL Vision Group
- CMU Vision Group
- Caltech Computational Vision Group
- Princeton Vision Lab
- UIUC Robotics and Computer Vision Lab
- CUHK Multimedia Lab
- UCLA Vision Lab
- UCF Computer Vision Lab
- Microsoft Visual Computing Group
- MERL - Mitsubishi Electric Research Lab
Conferences
- International Conference on Computer Vision (ICCV)
- IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR)
- European Conference on Computer Vision (ECCV)
