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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Beymer, D. |
| Copyright Year | 1996 |
| Description | Author affiliation: Artificial Intelligence Lab., MIT, Cambridge, MA, USA (Beymer, D.) |
| Abstract | The correspondence problem in computer vision is basically a matching task between two or more sets of features. We introduce a vectorized image representation, which is a feature-based representation where correspondence has been established with respect to a reference image. The representation consists of two image measurements made at the feature points: shape and texture. Feature geometry, or shape, is represented using the (x,y) locations of features relative to the some standard reference shape. Image grey levels, or texture, are represented by mapping image grey levels onto the standard reference shape. Computing this representation is essentially a correspondence task and in this paper we explore on automatic technique for "vectorizing" face images. Our face vectorizer alternates back and forth between computation steps for shape and texture, and a key idea is to structure the two computations so that each one uses the output of the other. In addition to describing the vectorizer, an application to the problem of facial feature detection is presented. |
| Starting Page | 921 |
| Ending Page | 928 |
| File Size | 1109957 |
| Page Count | 8 |
| File Format | |
| ISBN | 0818672595 |
| ISSN | 10636919 |
| DOI | 10.1109/CVPR.1996.517181 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 1998-06-18 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Interleaved codes Biology computing Image texture analysis Artificial intelligence Learning Shape measurement Geometry Face detection Face recognition Image analysis |
| Content Type | Text |
| Resource Type | Article |
| Subject | Computer Vision and Pattern Recognition Software |
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