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The Robotics Institute Carnegie Mellon University : Robotics Educa…
- https://www.ri.cmu.edu/pub_files/pub4/sakai_t_1972_1/sakai_t_1972_1.pdf#:~:text=Research%20on%20human%E2%80%94face%20identification%20has%20been%20done%20by,drawn%20by%20humans%20on%20the%20proj%20ected%20photographs.
- none
Computer analysis and classification of photographs of …
- https://www.semanticscholar.org/paper/Computer-analysis-and-classification-of-photographs-Sakai/0fb70e696256866e3a28598bcd640ef1be9db500
- Computer analysis and classification of photographs of human faces @inproceedings{Sakai1973ComputerAA, title={Computer analysis and classification of photographs of human faces}, author={Toshiyuki Sakai}, year={1973} } T. Sakai; Published 1973; Computer Science
Computer analysis of face beauty: A survey - ScienceDirect
- https://www.sciencedirect.com/science/article/pii/S1077314214000939
- A useful tool for face analysis applications is the “face space” paradigm, used in both human science, for modeling human perception, and in computer analysis. In the computer science area it was first introduced in . The general idea proposed was that, after proper normalization, the pixel array of a face image can be represented as a point, or a vector, in an …
The Robotics Institute Carnegie Mellon University
- https://ri.cmu.edu/publications/computer-analysis-and-classification-of-photographs-of-human-faces/
- The Robotics Institute Carnegie Mellon University
The Robotics Institute Carnegie Mellon University : …
- https://www.ri.cmu.edu/pub_files/pub4/sakai_t_1972_1/sakai_t_1972_1.pdf
- machine system, in which a computer classifies human faces based on the fiducial marks drawn by humans on the proj ected photographs. Harmon and his group [2] recently constructed an interactive system for face identification that takes advantage both of the human's superiority in describing face features and of the machine's superiority in making decisions based on …
Classification of human face images using principal …
- https://www.researchgate.net/publication/261225717_Classification_of_human_face_images_using_principal_components
- Discrete wavelet transform (DWT) is used to compress images for classification. Euclidean distance is used to classify the principal components …
CLASSIFICATION OF PHOTOGRAPHS BASED ON FACE …
- https://www.academia.edu/49248026/CLASSIFICATION_OF_PHOTOGRAPHS_BASED_ON_FACE_RECOGNITION
- Once eigenvector is obtained, eigenvectors are compared and the faces present in the picture are classified using k- nearest neighbour algorithm for face pattern recognition. Key words: Face Recognition, Face Detection, Eigen faces, Viola-Jones Algorithm, k-NN Algorithm Cite this Article: Myna A N, Deepthi K and Prathibha G, Classification of Photographs Based on Face …
Automatic classification of human facial features based …
- https://journals.plos.org/plosone/article?id=10.1371%2Fjournal.pone.0211314
- In recent decades, new technologies have opened up ways to automatically evaluate facial features and gestures, and computational methods for the analysis of facial information are now applied to classify faces based on anthropometric or emotional criteria [ 21 ]. Classification or typology systems used to categorize different human body parts ...
CLASSIFICATION OF PHOTOGRAPHS BASED ON FACE …
- https://www.academia.edu/53285893/CLASSIFICATION_OF_PHOTOGRAPHS_BASED_ON_FACE_RECOGNITION
- Face recognition has become a fundamental step for many image processing applications. Whenever the user has to access the pictures of any particular person, the user has to go through the entire database to find the required pictures. This proposed
Classification of human face images using principal …
- https://ieeexplore.ieee.org/document/4136993/
- Classification of human face images using principal components Abstract: This paper describes a novel approach of using principal components analysis (PCA) for recognizing the human faces in an efficient manner. The idea builds the concept of eigenfaces.
A Hybrid Approach to Human Face Detection
- https://www.ijcaonline.org/journal/number13/pxc387442.pdf
- classification of photographs of human faces”. Proc. First USA-Japan Computer Conference, 1972 3) T. Sakai, M. Nagao, and S. Fujibayashi, “Line Extraction and Pattern Detection in a Photograph”, Pattern Recognition, 1969. 4) H. Rowley, S. Baluja, and T. Kanade, “Neural Network-Based Face Detection”, Proc. IEEE Conf. Computer Vision and Pattern Recognition, 1996.
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