Results 241 to 250 of about 1,916,086 (289)
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Deformation Models for Image Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2007We present the application of different nonlinear image deformation models to the task of image recognition. The deformation models are especially suited for local changes as they often occur in the presence of image object variability. We show that, among the discussed models, there is one approach that combines simplicity of implementation, low ...
Daniel, Keysers +3 more
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Automatic Plankton Image Recognition
Artificial Intelligence Review, 1998zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Tang, Xiaoou +6 more
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Proceedings of the Eleventh Workshop on Mobile Computing Systems & Applications - HotMobile '10, 2010
We argue that the most desirable architecture for mobile image recognition runs the complete algorithm on the mobile device. Alternative solutions that run the recognizer on a remote server will not be as desirable because of the delay between image capture and receipt of a result that can cause users to abandon the technique.
Jonathan J. Hull +4 more
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We argue that the most desirable architecture for mobile image recognition runs the complete algorithm on the mobile device. Alternative solutions that run the recognizer on a remote server will not be as desirable because of the delay between image capture and receipt of a result that can cause users to abandon the technique.
Jonathan J. Hull +4 more
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2021
Image pattern recognition is a special pattern recognition that uses computers to automatically simulate humans’ visual recognition of objects, processes, and phenomena in the surrounding world (Bishop 2006; Bow 2002; Davies 2012; Duda et al. 2001; Shih 2010; Theodoridis and Koutroumbas 2003).
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Image pattern recognition is a special pattern recognition that uses computers to automatically simulate humans’ visual recognition of objects, processes, and phenomena in the surrounding world (Bishop 2006; Bow 2002; Davies 2012; Duda et al. 2001; Shih 2010; Theodoridis and Koutroumbas 2003).
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Statistical recognition of color images
Applied Optics, 1987The feasibility of classification of stochastic images for color vision in real time has been investigated with two approaches. First, a hybrid incoherent optical correlator based on a quasi-monochromatic cathode ray tube (CRT) is sequentially operated on red, green, and blue channels for statistical pattern recognition.
Z H, Gu, S H, Lee, Y, Fainman
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Pattern Recognition and Image Processing
IEEE Transactions on Computers, 1976Extensive research and development has taken place over the last 20 years in the areas of pattern recognition and image processing. Areas to which these disciplines have been applied include business (e. g., character recognition), medicine (diagnosis, abnormality detection), automation (robot vision), military intelligence, communications (data ...
Fu, King-Sun, Rosenfeld, Azriel
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2007
Analysis in Biometrics: A Statistical Model for Biometric Verification (S N Srihari & H Srinivasan) Force Field Feature Extraction for Ear Biometrics (D J Hurley) Behavior Biometrics for Online Computer User Monitoring (A A E Ahmed & I Traore) Synthesis in Biometrics: Introduction to Synthesis in Biometrics (S N Yanushkevich et al.) Local B-Spline ...
Svetlana N Yanushkevich +3 more
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Analysis in Biometrics: A Statistical Model for Biometric Verification (S N Srihari & H Srinivasan) Force Field Feature Extraction for Ear Biometrics (D J Hurley) Behavior Biometrics for Online Computer User Monitoring (A A E Ahmed & I Traore) Synthesis in Biometrics: Introduction to Synthesis in Biometrics (S N Yanushkevich et al.) Local B-Spline ...
Svetlana N Yanushkevich +3 more
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1997
Colour vision is undoubtedly of very great value to an organism; the multitude of colours in nature provides ample evidence of this. Brightly coloured flowers signal the availability of food to bees. A great number of trees and bushes attract birds by displaying bright red fruit, so that the seeds will be carried off to some distant location ...
Bruce G. Batchelor, Paul F. Whelan
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Colour vision is undoubtedly of very great value to an organism; the multitude of colours in nature provides ample evidence of this. Brightly coloured flowers signal the availability of food to bees. A great number of trees and bushes attract birds by displaying bright red fruit, so that the seeds will be carried off to some distant location ...
Bruce G. Batchelor, Paul F. Whelan
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6th International Conference on Computer Information Systems and Industrial Management Applications (CISIM'07), 2007
The authentication of people using iris-based recognition is a widely developing technology. Iris recognition is feasible for use in differentiating between identical twins. Though the iris color and the overall statistical quality of the iris texture may be dependent on genetic factors, the textural details are independent and uncorrelated for ...
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The authentication of people using iris-based recognition is a widely developing technology. Iris recognition is feasible for use in differentiating between identical twins. Though the iris color and the overall statistical quality of the iris texture may be dependent on genetic factors, the textural details are independent and uncorrelated for ...
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Image Quality and Target Recognition
Human Factors: The Journal of the Human Factors and Ergonomics Society, 1967The terminology and literature in the area of image quality and target recognition are reviewed. An experiment in which subjects recognized strategic and tactical targets in aerial photographs with controlled image degradations is described. Some findings are: Recognition performance is only moderate for representative conditions.
C A, Bennett +2 more
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