Detection and localization of faces on digital images
By Gilles Burel, Dominique Carel. 1994
Abstract A method for automatic detection and localization of faces on digital images is proposed. The method is based on learning by example and multi-resolution analysis of digital images. Special emphasis is put on the management of the learning data, in order to improve the performances. Various experimental results, obtained by using a Multi-Layer Perceptron (MLP) as a classifier, are provided.
Subfields: Computer Vision and Pattern Recognition
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In Computer Vision and Pattern Recognition
- Luc Van Gool
- Ming-Hsuan Yang
- Xiaogang Wang
- Jitendra Malik
- Dacheng Tao
- Bernt Schiele
- Andrew Zisserman
- Trevor Darrell
Citations in the corpus
- Learning Non-maximum Suppression (2017, background): “Since the actual goal is to generate exactly one detection per object (or exactly one high confidence detection), a common practice (since at least 1994 [3]) is to assume that highly overlapping detections belong to the same object and collapse them into one detection.”
- Detecting Faces in Images: A Survey (2002, methodology): “and Carel [12] proposed a neural network for face detection in”
- Finding Pictures of Objects in Large Collections of Images (1996, methodology): “The main features on a human face appear in much the same form in most images, enabling techniques based on principal component analysis or neural networks proposed by, for example, Pentland et al. (1994), Sung and Poggio (1994), Rowley et al. (1996), and Burel and Carel (1994).”
- Neural network-based face detection (1996, methodology): “In the face detection work described in [3], similar observations about the nature of the outputs were made, resulting in the development of heuristics similar to those described above.”
- Information fusion in biometrics (2003, background): “A variety of techniques have been described in the literature to locate the spatial coordinates of a face within an image (Burel and Carel, 1994; Rowley et al., 1998; Yang and Huang, 1994).”
- Face Detection: A Survey (2001, background): “The first neural approaches to face detection were based on MLPs [10, 82, 147], where promising results where reported on fairly simple datasets.”