A nonlinear approach for face sketch synthesis and recognition

By Qingshan Liu, Xiaoou Tang, Hongliang Jin, Hanqing Lu, Songde Ma. Computer Vision and Pattern Recognition, 2005

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How researchers see this paper

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The CASIA NIR-VIS 2.0 Face Database (2013, background): “Representative works in this category include [14], [11] and [16], where the most representative one is eigen-transform.”
Heterogeneous Face Recognition Using Kernel Prototype Similarities (2013, background): “from a photograph (or vice versa) [3], [4], [5].”
A Comprehensive Survey to Face Hallucination (2013, methodology): “Subsequently Liu et al. (2005a) improved the accuracy to 88 % by adopting the kernel based nonlinear discriminant analysis (Mika et al. 1999) as the dimension reduction algorithm.”
Face Photo-Sketch Synthesis and Recognition (2009, background): “It can not only help police locate a group of potential suspects, but also help the witness and the artist modify the sketch drawing of the suspect interactively based on similar photos retrieved [1], [2], [3], [4], [5], [6], [7].”
Coupled information-theoretic encoding for face photo-sketch recognition (2011, methodology): “The ﬁrst family of approaches [27, 18, 31] cused on the preprocessing stage and synthesized a pseudo-photo from the query sketch or pseudo-sketches from the gallery photos to transform inter-modality face recognition into intra-modality face recognition.”