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
More filters
Journal ArticleDOI
Digital Face Recognition Techniques for Matching with Sketches
Surya Raj,Navya Jose +1 more
TL;DR: This paper presents an automated algorithm that extracts discriminating information from local regions of both sketches and digital face images and an evolutionary Memetic Optimization is proposed to assign optimal weights to every local facial region to boost the identification performance.
Proceedings ArticleDOI
Cross Domain Descriptor for Face Sketch-Photo Image Recognition
TL;DR: In this paper, a triplet loss was used to extract the patches from the sketches and photos to improve the efficiency of the face-sketch to face-photo matching.
The implementation of memetic algorithm on image: a survey
Priati Assiroj,Harco Leslie Hendric Spits Warnars,Edi Abdurachman,Achmad Imam Kistijantoro,Antoine Doucet +4 more
TL;DR: The PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-analysis) method is used to survey another research about the implementation of MA, specifically on the image to determine the extent of the implemented of MA in image data.
Posted Content
Unsupervised Many-to-Many Image-to-Image Translation Across Multiple Domains
TL;DR: Zhang et al. as discussed by the authors proposed an effective many-to-many mapping framework for unsupervised multi-domain image-toimage translation, which uses only one domain-shared encoder and several domain-specialized decoders to translate images across multiple domains.
Journal ArticleDOI
Matching Faces and Attributes Between the Artistic and the Real Domain: the PersonArt Approach
TL;DR: The proposed algorithm for retrieving similar faces between the artistic and the real domain is implemented in a real showcase at the Gallerie Estensi museum in Italy, with the participation of more than 1,100 visitors in just three days.
References
More filters
Journal ArticleDOI
Distinctive Image Features from Scale-Invariant Keypoints
TL;DR: This paper presents a method for extracting distinctive invariant features from images that can be used to perform reliable matching between different views of an object or scene and can robustly identify objects among clutter and occlusion while achieving near real-time performance.
Distinctive Image Features from Scale-Invariant Keypoints
TL;DR: The Scale-Invariant Feature Transform (or SIFT) algorithm is a highly robust method to extract and consequently match distinctive invariant features from images that can then be used to reliably match objects in diering images.
Journal ArticleDOI
Ten Lectures on Wavelets
TL;DR: In this article, the regularity of compactly supported wavelets and symmetry of wavelet bases are discussed. But the authors focus on the orthonormal bases of wavelets, rather than the continuous wavelet transform.
Journal ArticleDOI
Face Description with Local Binary Patterns: Application to Face Recognition
TL;DR: This paper presents a novel and efficient facial image representation based on local binary pattern (LBP) texture features that is assessed in the face recognition problem under different challenges.
Related Papers (5)
Heterogeneous Face Recognition Using Kernel Prototype Similarities
Brendan Klare,Anil K. Jain +1 more