Journal ArticleDOI
Memetically Optimized MCWLD for Matching Sketches With Digital Face Images
TLDR
An automated algorithm to extract discriminating information from local regions of both sketches and digital face images is presented and yields better identification performance compared to existing face recognition algorithms and two commercial face recognition systems.Abstract:
One of the important cues in solving crimes and apprehending criminals is matching sketches with digital face images. This paper presents an automated algorithm to extract discriminating information from local regions of both sketches and digital face images. Structural information along with minute details present in local facial regions are encoded using multiscale circular Weber's local descriptor. Further, an evolutionary memetic optimization algorithm is proposed to assign optimal weight to every local facial region to boost the identification performance. Since forensic sketches or digital face images can be of poor quality, a preprocessing technique is used to enhance the quality of images and improve the identification performance. Comprehensive experimental evaluation on different sketch databases show that the proposed algorithm yields better identification performance compared to existing face recognition algorithms and two commercial face recognition systems.read more
Citations
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Proceedings ArticleDOI
Face Sketch Colorization via Supervised GANs
TL;DR: The proposed image to image transformation model reduces the modality gap of the sketch images and color photos resulting in higher identification accuracies and images with better visual quality than the ground truth sketch images.
Journal ArticleDOI
Forensic sketch recognition using user specific facial region
Saurabh Singh,Madhavi Sinha +1 more
TL;DR: A sketch to mug-shot matching approach called difference vector-based matching DVBM, which utilises deviations present in facial regions to measure the similarity between a sketch and a mug-shots image, is suggested.
Proceedings ArticleDOI
Face Photo-Sketch Recognition Using Bidirectional Collaborative Synthesis Network
TL;DR: Zhang et al. as mentioned in this paper proposed a deep learning based framework to address the problem of matching a given face sketch image against a face photo database by using an intermediate latent space between the two modalities.
Book ChapterDOI
Heterogeneous Face Matching Using Robust Binary Pattern of Local Quotient: RBPLQ
TL;DR: This paper proposes a robust binary scheme for representing and matching near-infrared (NIR)–visible (VIS) and sketch–photo heterogeneous faces and it is termed as robust binary pattern of local quotient (RBPLQ), which provides illumination-invariant and noise-resistant features in coarse level.
Patent
Method of matching a sketch image to a face image
Yi-Zhe Song,Hospedales Timothy +1 more
TL;DR: In this article, the performance of automated facial forensic sketch matching is improved by learning from examples of facial forgetting over time, which enables a model to systematically "unforget" facial details.
References
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