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Facial-sketch synthesis: a new challenge
This paper aims to conduct a comprehensive study on facial-sketch synthesis (FSS).
However, due to the high cost of obtaining hand-drawn sketch datasets, there is a lack of a …
However, due to the high cost of obtaining hand-drawn sketch datasets, there is a lack of a …
Recent advances in face biometrics with Gabor wavelets: A review
In this paper we focus on the great outburst of Gabor-based methods for face biometrics
occurred in the last few years. Analytical approaches rely on the representation of a face …
occurred in the last few years. Analytical approaches rely on the representation of a face …
Face sketch–photo synthesis and retrieval using sparse representation
Sketch-photo synthesis plays an important role in sketch-based face photo retrieval and
photo-based face sketch retrieval systems. In this paper, we propose an automatic sketch …
photo-based face sketch retrieval systems. In this paper, we propose an automatic sketch …
Co-occurrence matrix and its statistical features as a new approach for face recognition
In this paper, a new face recognition technique is introduced based on the gray-level co-
occurrence matrix (GLCM). GLCM represents the distributions of the intensities and the …
occurrence matrix (GLCM). GLCM represents the distributions of the intensities and the …
Face recognition from multiple stylistic sketches: Scenarios, datasets, and evaluation
Due to the great texture discrepancies between photos and sketches, matching face
sketches against mug shot photos is a challenging yet important topic in face recognition …
sketches against mug shot photos is a challenging yet important topic in face recognition …
Face sketch-photo synthesis under multi-dictionary sparse representation framework
Sketch-photo synthesis is one of the important research issues of heterogeneous image
transformation. Some available popular synthesis methods, like locally linear embedding …
transformation. Some available popular synthesis methods, like locally linear embedding …
Face sketch-photo synthesis based on support vector regression
The existing face sketch-photo synthesis methods trend to lose some vital details more or
less. In this paper, we propose a novel sketch-photo synthesis approach based on support …
less. In this paper, we propose a novel sketch-photo synthesis approach based on support …
Analysis of variance of Gabor filter banks parameters for optimal face recognition
Gabor filter banks constitute a very robust tool to extract discriminant information from a
visual scene. After the now “classical” bank with 5 frequencies and 8 orientations proposed …
visual scene. After the now “classical” bank with 5 frequencies and 8 orientations proposed …
Separable linear discriminant analysis
Linear discriminant analysis (LDA) is a popular technique for supervised dimension
reduction. Due to the curse of dimensionality usually suffered by LDA when applied to 2D …
reduction. Due to the curse of dimensionality usually suffered by LDA when applied to 2D …
Dynamic facial expression recognition using boosted component-based spatiotemporal features and multi-classifier fusion
Feature extraction and representation are critical in facial expression recognition. The facial
features can be extracted from either static images or dynamic image sequences. However …
features can be extracted from either static images or dynamic image sequences. However …