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Showing papers on "Three-dimensional face recognition published in 1989"


Proceedings ArticleDOI
04 Jun 1989
TL;DR: In this article, a computational approach to locating human faces in newspaper photographs is described, where candidates for the locations of faces are hypothesized by extracting features in the edge-image of the photograph and matching with a model of a face profile.
Abstract: A computational approach to locating human faces in newspaper photographs is described. While the computational recognition of a well-framed face as one of a known set of faces has received some attention, the computational location of faces in varying contexts is relatively unexplored. Candidates for the locations of faces are hypothesized by extracting features in the edge-image of the photograph and matching with a model of a face profile. A face is defined by a parametric representation of each of the component parts. Knowledge contained in the caption is represented using semantic networks and is used to reason about the locations of faces of individuals in the photograph. >

88 citations


Book ChapterDOI
01 Jan 1989

38 citations


Proceedings ArticleDOI
23 May 1989
TL;DR: A human face recognition system, which has a feature extraction subsystem and a recognition subsystem, has been built and a two-test method is used to increase the accuracy of the recognition.
Abstract: A human face recognition system, which has a feature extraction subsystem and a recognition subsystem, has been built. An unknown human facial image is captured and digitized by a frame grabber, and features of the digitized image are extracted. The features are stored during the learning phase and are compared with the references in the memory during the recognition phase. A two-test method is used to increase the accuracy of the recognition. The first test eliminates a number of records with large differences in major features. The second test selects the one with minimum differences by calculating the total weighted error. Test results are presented. >

27 citations



Book
01 Jan 1989

10 citations


Proceedings ArticleDOI
27 Mar 1989
TL;DR: It is shown that all patients demonstrated better face recognition with the enhanced images than with the original, untouched images, which were significantly clearer, sharper, and easier to see.
Abstract: The authors evaluate whether patients demonstrate improved face recognition when viewing enhanced images. Difficulty with face recognition is a frequent, early complaint of many patients with macular disease. Faces can be recognized when low-pass filtered to a large degree or high-pass filtered. To evaluate actual face recognition rather than the ability to discriminate among test faces, the authors tested the patient's ability to recognize celebrities, which is more robust than the recognition of unfamiliar faces. It is shown that all patients demonstrated better face recognition with the enhanced images than with the original, untouched images. Analysis of the difference between the two areas under the receiver operating curves indicated a statistically significant increase in recognition for 8 out of 17 patients. Patients reported that the enhanced images were significantly clearer, sharper, and easier to see. >

4 citations


Journal ArticleDOI
TL;DR: An overview of a research system for phoneme-based large-vocabulary continuous-speech recognition that provides the speaker-dependent recognition component in the speech-understanding system SPICOS that is designed to recognize and understand database queries spoken in natural German language.
Abstract: This paper gives an overview of a research system for phoneme-based large-vocabulary continuous-speech recognition. The system provides the speaker-dependent recognition component in the speech-understanding system SPICOS that is designed to recognize and understand database queries spoken in natural German language. The recognition technique used in the SPICOS recognition system is based on an integrated approach that combines the various knowledge sources, such as an inventory of subword units, pronunciation lexicon and language model, during the process of decision making in order to improve the reliability of the acoustic recognition. The recognition problem then amounts to an efficient search for the globally optimal decision through a huge state space. The size of this state space depends primarily on the type of language model being used. Stochastic bigram and trigram models are studied and compared with the case of no language model restrictions. Recognition experiments have been carried out on a 917-word task for 4 speakers. For each speaker, 200 sentences totalling 1391 words had to be recognized.

2 citations


01 Jan 1989
TL;DR: A simulated shape recognition system using feature extraction was built as an aid for designing robot vision systems to study the effects of image resolution and feature selection on the performance of a vision system that tries to identify unknown 2-D objects.
Abstract: A simulated shape recognition system using feature extraction was built as an aid for designing robot vision systems. The simulation allows the user to study the effects of image resolution and feature selection on the performance of a vision system that tries to identify unknown 2-D objects. Performance issues that can be studied include identification accuracy and recognition speed as functions of resolution and the size and makeup of the feature set. Two approaches to feature selection were studied as was a nearest neighbor classification algorithm based on Mahalanobis distances. Using a pool of ten objects and twelve features, the system was tested by performing studies of hypothetical visual recognition tasks.

1 citations