Face sketch synthesis and recognition

By Xiaoou Tang, Xiaogang Wang. Proceedings Ninth IEEE International Conference on Computer Vision, 2003

320 citations recorded by the source corpus.

Subfields: Computer Vision and Pattern Recognition

View Paper: https://www.semanticscholar.org/paper/38faebc01eadaab68d2220f93536c29f00a12408

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Vision and Pattern Recognition

1. Dacheng Tao
2. Xiaogang Wang
3. Luc Van Gool
4. Yi Yang
5. Ming-Hsuan Yang
6. Xiaoou Tang
7. S. Li
8. Bernt Schiele

Citations in the corpus

• 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.”
• The CASIA NIR-VIS 2.0 Face Database (2013, methodology): “The eigen-transform was proposed by Tang and Wang in [13] for matching sketch images with photos.”
• A nonlinear approach for face sketch synthesis and recognition (2005, methodology): “An alternative approach is to generate a pseudo-sketch from a photo image [9,10,11], which is used in our scheme.”
• Dual-space linear discriminant analysis for face recognition (2004, methodology): “In future study, we will investigate the application of this dual-space approach to the unified subspace analysis [10] and face sketch recognition [11], and further compare with the random sampling LDA, which combine the two LDA subspaces at the decision level [12].”
• Face Photo-Sketch Synthesis and Recognition (2009, methodology): “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].”
• Semi-coupled dictionary learning with applications to image super-resolution and photo-sketch synthesis (2012, background): “Wang and Tang’s method in [26] is used for comparison.”
• A Comprehensive Survey to Face Hallucination (2013, methodology): “(16) In Tang and Wang (2003), the shape was first separated from the texture and then eigentransform was applied to shape and texture.”
• Wasserstein CNN: Learning Invariant Features for NIR-VIS Face Recognition (2017, methodology): “methods were first used in face photo-sketch synthesis and recognition [25], with [26] transforming a face image from one modality to another based on facial analogies and [27] synthesizing a face photo from a pseudo-sketch by using multi-scale Markov random fields.”