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3D Reconstruction
Texture Analysis
Shape Analysis
Recognition
Fractal Graphics
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| | | | Computer Vision and Graphics 中文 3D Reconstruction
We live in a three-dimensional world and possess stereo vision thanks to the pair of our eyes and our brain. Inspired by this natural endowment, a central problem of computer vision is to retrieve 3D geometric information of the objects and environments from planar images. This process is traditionally termed 3D reconstruction.
3D reconstruction of objects and environments is useful in itself since the resultant 3D models have wide application in virtual reality, computer aided design and engineering etc. It is also a helpful means for automatic object recognition as the 3D data eliminates the headache-causing variances produced by the perspective projection of the optical imaging process. | |  | | | Texture Analysis
The unevenness patterns of the pixel attributes in a region give rise to the visual perception of image texture. Texture reflects the variations of the optical properties of object surfaces and illumination. Different materials usually produce distinctive surface texture. This makes image texture an important source of discriminant information.
Texture plays an important role in various recognition applications such as product surface inspection, identification of objects in images, image based medical screening and diagnosis. | |  | | | Shape Analysis
Different objects typically posses distinctive shapes, which makes shape an important discriminant feature for object description and recognition. Some shapes are inherently planar such as the alphabets and words while many others are 3D in nature.
Shape analysis is key to many applications such as character recognition, symbol classification and retrieval, object recognition and retrieval. | |  | | | Recognition
Objects tend to fall into categories. Those of the same class usually share common features while those of different classes possess distinctive features, which makes recognition possible. A key (futuristic) goal of computer vision is to empower the machine with the superb recognition ability of the human vision system.
Specialized recognition systems such as character recognition, fingerprint recognition, and more recently face recognition have seen successful applications, while more generic recognition ability is highly desirable in many fields such as video surveillance and remote sensing, product inspection, biological research and medical diagnosis. | |  | | | Fractal Graphics
Fractal geometry is a mathematical system characterized by features recurring at all levels of detail. While such properties are widely observable in nature (coastal lines and fern leaves for example), it is somehow surprising and yet completely pleasing that fractals are a good source for visual arts. | |  | | | Updated. June 2009
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