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 Title: |
US5842194:
Method of recognizing images of faces or general images using fuzzy combination of multiple resolutions
[ Derwent Title ]
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| Country: |
US United States of America
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| Inventor: |
Arbuckle, Thomas D.; Tokyo, Japan
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| Assignee: |
Mitsubishi Denki Kabushiki Kaisha, Tokyo, Japan
Real World Computing Partnership, Tokyo, Japan
other patents from MITSUBISHI DENKI KABUSHIKI KAISHA (379245) (approx. 20,162)
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| Published / Filed: |
1998-11-24
/ 1995-07-28
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| Application Number: |
US1995000508889
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| IPC Code: |
Advanced:
G06K 9/68;
G06T 1/40;
Core:
G06T 1/20;
more...
IPC-7:
G06F 15/18;
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| ECLA Code: |
G06K9/68B1;
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| U.S. Class: |
Current:
706/052;
382/224;
706/002;
Original:
706/052;
706/002;
382/224;
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| Field of Search: |
395/010,2.45,2.65,326,3,24
382/125,212,156,224
706/045,52,2,26
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| Priority Number: |
| 1995-07-28 |
US1995000508889 |
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| Abstract: |
A system comprising a neural network, or computer, implementing a feature detection and a statistical procedure, together with fuzzy logic for solving the problem of recognition of faces or other objects) at multiple resolutions is described. A plurality of previously described systems for recognizing faces (or other objects) which use local autocorrelation coefficients and linear discriminant analysis are trained on a data set to recognize facial images each at a particular resolution. In a second training stage, each of the previously described systems is tested on a second training set in which the images presented to the previously described recognition systems have a matching resolution to those of the first training set, the statistical performance of this second training stage being used to train a fuzzy combination technique, that of fuzzy integrals. Finally, in a test stage, the results from the classifiers at the multiple resolutions are combined using fuzzy combination to produce an aggregated system whose performance is higher than that of any of the individual systems and shows very good performance relative to all known face recognitior systems which operate on similar types of training and testing data, this aggregated system, however, not being limited to the recognition of faces and being able to be applied to the recognition of other objects.
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| Attorney, Agent or Firm: |
Leydig, Voit & Mayer ;
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| Primary / Asst. Examiners: |
Hafiz, Tariq R.; Shaw, Sanjiv
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| INPADOC Legal Status: |
Show legal status actions
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| Family: |
None
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First Claim:
Show all 25 claims |
What is claimed is:
1. A process for recognizing known images of a plurality of objects, the process comprising:
- (a) obtaining a plurality of different resolutions for an unknown image;
- (b) performing local autocorrelation for each resolution of the unknown image to produce a feature vector for each resolution;
- (c) performing linear discriminant analysis for each feature vector, wherein each feature vector from the local autocorrelation is processed employing a transformation matrix, the transformation matrix being calculated with respect to known images required to be recognized, the linear discriminant analysis producing a plurality of outputs;
- (d) performing fuzzy integration to merge the outputs from the linear discriminant analysis to produce a merged output for each of the known images, each merged output being indicative of similarity of the unknown image to each known image;
- (e) analyzing each merged output to identify a known image corresponding to the unknown image.
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| Background / Summary: |
Show background / summary
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| Drawing Descriptions: |
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| Description: |
Show description
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| Forward References: |
Show 48 U.S. patent(s) that reference this one
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| Foreign References: |
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PDF |
Publication |
Date |
IPC Code |
Assignee |
Title |
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JP02101586
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1990-04 |
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JP02101591
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1990-04 |
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| Other Abstract Info: |
DERABS G1999-034560
DERABS G1999-034560
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| Other References: |
Chow et al., "Towards a System for Automatic Facial Feature Detection"; Pattern Recognition, vol. 26, No. 12, pp. 1739-1755, 1993.
(17 pages)
Cited by 14 patents
[ISI abstract]
Huang et al., "Automatic Feature Point Extraction on a Human Face in Model Based Image Coding"; Optical Engineering, vol. 37, No. 7, pp. 1571-1580, 1993.
(10 pages)
Cited by 5 patents
[ISI abstract]
Gordon et al., "Application of Morphology to Feature Extraction for Face Recognition"; Proceedings of SPIE, vol. 1658, pp. 151-164, 1992.
Stringa, Luigi, "Eyes Detection for Face Recognition"; Applied Artificial Intelligence, vol. 7, No. 4, pp. 365-382, 1993.
(18 pages)
[ISI abstract]
Rybak et al., "Behavioral Model of Visual Perception and Recognition"; Proceedings of SPIE, vol. 1913, pp. 548-560, 1993.
Solheim et al., "The Potentail in Using Backpropagation Neural Networks for Facial Verification Systems"; Simulation, vol. 58, No. 5, pp. 306-310, 1992.
(5 pages)
[ISI abstract]
Ying et al., "The Extraction and Recognition of Facial Images in the Complex Background"; Journal of the Faculty of Engineering, Sinshu Univ., vol. 74, pp. 77-87, 1994.
Soulie et al., "Multi-Modular Neural Network Architectures: Applications in Optical Character and Human Face Recognition"; International Journal of Pattern Recognition and Artificial Intelligence, vol. 7, No. 4, pp. 721-755, 1993.
Valentin et al., "Connectionist Models of Face Processing: A Survey"; Pattern Recogntion vol. 27, No. 9, pp. 1209-1230, 1994.
(22 pages)
[ISI abstract]
Turk et al., "Face Processing Models for Recognition"; Proceedings of SPIE, vol. 1192, No. 1, pp. 22-32, 1990.
Akamatsu et al., "A Robust Face Identification Scheme-KL Expansion of an Invariant Feature Space"; Proceedings of SPIE, vol. 1607, pp. 71-84, 1991.
Bichsel et al., "Human Face Recognition and the Face Image Set's Topology"; GVGIP Image Understanding, vol. 59, No. 2, pp. 254-261, 1994.
(8 pages)
Cited by 5 patents
[ISI abstract]
Hong, Zi-Quan, "Algebraic Feature Extraction of Image for Recognition"; vol. 24, No. 3, pp. 211-219, 1991.
(9 pages)
[ISI abstract]
Liu et al., "Human Face Recognition Method Based on the Statistical Model of Small Sample Size"; Proceedings of SPIE, vol. 1607, pp. 85-95, 1991.
Cheng et al., "A Novel Feature Extraction Method for Image Recognition Based on Similar Discriminant Function"; Pattern Recognition, vol. 26, No. 1, pp. 115-125, 1993.
(11 pages)
[ISI abstract]
Liu et al., "Novel Approach to Human Face Recognition" Proceedings of SPIE, vol. 1771, pp. 605-611, 1993.
Spacek et al., "Face Recognition Through Learned Boundary Characteristics"; Applied Intelligence, vol. 8, No. 1, pp. 149-164, 1994.
(16 pages)
[ISI abstract]
Samaria et al., "HMM-based Architecture for Face Identification" Image and Vision Computing, vol. 12, No. 8, pp. 537-543, 1994.
(7 pages)
[ISI abstract]
Samal et al., "Automatic Recognition and Analysis of Human Faces and Facial Expressions: A Survey"; Pattern Recognition, vol. 25, No. 1, pp. 65-77, 1992.
(13 pages)
Cited by 9 patents
[ISI abstract]
Choquet, Gustave, "Theory of Capacities"; Annales de I'Institut Fourier 5, pp. 131-295, 1953.
Tahani et al., "Information Fusion in Computer Vision Using the Fuzzy Integral"; IEEE Transactions on Systems, Man, and Cybernetics, 20(3) pp. 733-741, 1990.
(9 pages)
Keller et al., "Information Fusion via Fuzzy Logic in Automatic Target Recognition"; Proceedings of the SPIE, 1623, pp. 203-208, 1992.
Keller et al., "The Fuzzy Integral and Image Segmentation"; Proceedings NAFIPS-86, New Orleans, pp. 324-338, Jun. 1986.
Grabisch, "Characterization of Fuzzy Integrals Viewed as Aggregation Operators"; 3rd Congress on Fuzzy Sets and Systems, Orlando, Jun. 1994.
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Yoneda et al., "Interactive Determination of a Utility Function Represented as a Fuzzy Integral"; Information Sciences, vol. 71, pp. 43-64, 1993.
(22 pages)
[ISI abstract]
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Takahashi, et al., "Description and Matching of Density Variation for Personal Identification through Facial Images"; Proceedings of SPIE, vol. 1360, No. 3, pp. 1694-1704, 1990.
Arbuckle et al., "Multi-Resolution Face Recognition System Incorporating Fuzzy Integration"; Proceedings of the IEICE General Conference, Fukuoka, Systems vol. 2, pp. 252, Mar. 1995.
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