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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Schneiderman, H. Kanade, T. |
| Copyright Year | 1998 |
| Description | Author affiliation: Robotics Inst., Carnegie Mellon Univ., Pittsburgh, PA, USA (Schneiderman, H.) |
| Abstract | In this paper, we describe an algorithm for object recognition that explicitly models and estimated the posterior probability function, P(object/image). We have chosen a functional form of the posterior probability function that captures the joint statistics of local appearance and position on the object as well as the statistics of local appearance in the visual world at large. We use a discrete representation of local appearance consisting of approximately 10/sup 6/ patterns. We compute an estimate of P(object/image) in closed form by counting the frequency of occurrence of these patterns over various sets of training images. We have used this method for detecting human faces from frontal and profile views. The algorithm for frontal views has shown a detection rate of 93.0% with 88 false alarms on a set of 125 images containing 483 faces combining the MIT test set of Sung and Poggio with the CMU test sets of Rowley, Baluja, and Kanade. The algorithm for detection of profile views has also demonstrated promising results. |
| Starting Page | 45 |
| Ending Page | 51 |
| File Size | 255484 |
| Page Count | 7 |
| File Format | |
| ISBN | 0818684976 |
| ISSN | 10636919 |
| DOI | 10.1109/CVPR.1998.698586 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 1998-06-25 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Object recognition Face detection Random variables Aggregates Object detection Robots Statistics Probability Layout Color |
| Content Type | Text |
| Resource Type | Article |
| Subject | Computer Vision and Pattern Recognition Software |
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