Fusion of Intra- and Inter-modality Algorithms for Face-Sketch Recognition
نویسندگان
چکیده
Combination of Eigentransformation, a global intra-modality method [1], with the Eigenpatches local intra-modality approach that has been used for face hallucination [2]. For both approaches, photos are transformed to sketches or vice versa to reduce the modality gap. This allows recognition using a traditional face recogniser. These algorithms are further fused with an inter-modality method called Histogram of Averaged Orientation Gradients (HAOG) [3]. The Chi-Square (χ2) histogram matching method is used to evaluate the distance between the HAOG descriptors of probe sketches and those of the gallery photos. The scores output from each face recogniser are normalized using min-max normalisation in the Normalisation module and are finally fused with the Fusion module using sum-ofscores method. The algorithms are evaluated on the Chinese University of Hong Kong Face Sketch FERET (CUFSF) database [4]. This database contains viewed hand-drawn sketches of subjects in the Color FERET database [5]. A total of 842 subjects were considered.
منابع مشابه
Inter-modality Face Recognition
Recently, the wide deployment of practical face recognition systems gives rise to the emergence of the inter-modality face recognition problem. In this problem, the face images in the database and the query images captured on spot are acquired under quite different conditions or even using different equipments. Conventional approaches either treat the samples in a uniform model or introduce an ...
متن کاملVideo-based face recognition in color space by graph-based discriminant analysis
Video-based face recognition has attracted significant attention in many applications such as media technology, network security, human-machine interfaces, and automatic access control system in the past decade. The usual way for face recognition is based upon the grayscale image produced by combining the three color component images. In this work, we consider grayscale image as well as color s...
متن کاملPeople Identification and Tracking Through Fusion of Facial and Gait Features
This paper reviews the contemporary (face, gait, and fusion) computational approaches for automatic human identification at a distance. For remote identification, there may exist large intra-class variations that can affect the performance of face/gait systems substantially. First, we review the face recognition algorithms in light of factors, such as illumination, resolution, blur, occlusion, ...
متن کاملAn Approach: Modality Reduction and Face
-NN classifier for better to much harder than normal face recognition based on photo images. To recognize a face sketch through photo database, it is necessary to reduce the modality difference between face photo and face sketch images. Every face recognition system need to perform mainly three subtasks: face detection, feature extraction and classification. But face sketch recognition system t...
متن کاملHeterogeneous Face Recognition
Heterogeneous Face Recognition By Brendan F. Klare One of the most difficult challenges in automated face recognition is computing facial similarities between face images acquired in alternate modalities. Called heterogeneous face recognition (HFR), successful solutions to this recognition paradigm would allow the vast collection of face photographs (acquired from driver’s licenses, passports, ...
متن کامل