Face Recognition Using Line Edge Map

By Yongsheng Gao, Maylor Karhang Leung. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2002

431 citations recorded by the source corpus.

Subfields: Computer Vision and Pattern Recognition

View Paper: https://www.semanticscholar.org/paper/457abee61182a320b301d73ecceff00d055f596e

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In Computer Vision and Pattern Recognition

Citations in the corpus

A review of biometric technology along with trends and prospects (2014, neutral): “Table 2: Summary of facial region modalities: Modality Feature Set Recognition Techniques Datasets Face Distance between eyes, mouth, side of nose, entire face image, corner points, contours, gender, goatee, roundness of face, edge maps, pixel intensity, local and global curvatures PCA [95, 96], LDA”
Face Recognition: A Literature Review (2008, methodology): “Also, LEM is expected to be less sensitive to illumination changes due to the fact that it is an intermediate-level image representation derived from low level edge map representation.”
Local Derivative Pattern Versus Local Binary Pattern: Face Recognition With High-Order Local Pattern Descriptor (2010, background): “Even the average orientation value of a face Line Edge Map (LEM) [8] contains identity information, which can be used for face prefiltering.”
A survey of palmprint recognition (2009, methodology): “Leung et al. employ Sobel masks to extract palm lines and line segment Hausdorff distance to compare two palmprints [95, 104].”
Face recognition across pose: A review (2009, methodology): “No training Template matching [16], LEM [27], DCP [28], LBP [2] , cylindrical 3D pose recovery [26], probabilistic geometry assisted FR [55], automatic texture synthesis [85], ICM [29, 30], stereo matching [18], Composite deformable model [48], pan or mic view [71], MQVM [87].”
2D and 3D face recognition: A survey (2007, methodology): “Indeed, Gao and Leung (2002) extended the edge map technique defining a new approach, namely the Line Edge Map, in which the face contours are extracted and combined in segments, which are then organized in lines.”
Recent advances in visual and infrared face recognition - a review (2005, methodology): “The line segment Hausdorff distance ( LHD ) measure is used to match LEMs of faces .”
Recognizing Rotated Faces From Frontal and Side Views: An Approach Toward Effective Use of Mugshot Databases (2008, methodology): “In this paper, we report the complete and improved formulation, thorough investigation and extended experimental evaluation of our system.”