Proceedings ArticleDOI
Self-similarity representation of Weber faces for kinship classification
Naman Kohli,Richa Singh,Mayank Vatsa +2 more
- pp 245-250
TLDR
A kinship classification algorithm that uses the local description of the pre-processed Weber face image to outperforms an existing algorithm and yields a classification accuracy of 75.2%.Abstract:
Establishing kinship using images can be utilized as context information in different applications including face recognition. However, the process of automatically detecting kinship in facial images is a challenging and relatively less explored task. The reason for this includes limited availability of datasets as well as the inherent variations amongst kins. This paper presents a kinship classification algorithm that uses the local description of the pre-processed Weber face image. A kinship database is also prepared that contains images pertaining to 272 kin pairs. The database includes images of celebrities (and their kins) and has four ethnicity groups and seven kinship groups. The proposed algorithm outperforms an existing algorithm and yields a classification accuracy of 75.2%.read more
Citations
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Journal ArticleDOI
Intelligent system for cross-spectral and cross-distance face matching
D. Shamia,D. Abraham Chandy +1 more
TL;DR: The combination of wavelet based Histogram of Oriented Gradients (HOG) feature extractor and Local Binary Pattern (LBP) features has yielded comparatively better results for long distances than the competing techniques.
Journal ArticleDOI
Family classification and kinship verification from facial images in the wild
TL;DR: A novel weighted nearest member metric leaning (WNMML) method to evaluate family classification on different family-sets based on number of family members and performs kinship verification on KinIndian using baseline multimetric learning methods and achieves promising and encouraging kinship accuracy.
Book ChapterDOI
Feature Fusion for Kinship Verification Based on Face Image Analysis
TL;DR: In this article , the fusion of two new features for improving kinship verification based on face image analysis is proposed, which are the Gradient Local Binary Patterns (GLBP), which associates gradient and textural information, and the Histogram Of Templates (HOT), which is a shape descriptor.
Book ChapterDOI
Video-Based Facial Kinship Verification
Haibin Yan,Jiwen Lu +1 more
TL;DR: This chapter presents a new video face dataset called Kinship Face Videos in the Wild (KFVW) which were captured in wild conditions for the video-based kinship verification study, as well as the standard benchmark, and employs the benchmark to evaluate and compare the performance of several state-of-the-art metric learning-based kinSHIP verification methods.
References
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