Evaluation methods in face recognition[ M]. London:Springer,2011.Evaluation methods in facerecognition. Phillips P J,Grother P,Micheals R. Handbook of Face Recognition . 2011P. Phillips, P. Grother and R. Micheals, "Evaluation Methods in Face Recognition," in Handbook of Face Recognition, ...
The testing and assessing method aiming at face recognition system and algorithm were proposed, and the corresponding requirement and technical indexes were explained in the paper. At last, the practicability and application prospect of the technology were discussed.ZhiguoYan...
Experimental results comparing some popular subspace methods on FERET and ORL databases show that our approach consistently outperforms others. 展开 关键词: image recognition Face recognition feature extraction 会议名称: IEEE International Conference on Acoustics ...
There are several methods for recognition and appearance based methods is one of the most popular one. Unfortunately most of the papers that have been published these years have just shown the results on the databases that are all without any noise and all of focus. But it is clear that ...
Facial-expression data often appear in multiple views either due to head-movements or the camera position. Existing methods for multi-view facial expressi... S Eleftheriadis,O Rudovic,M Pantic - International Symposium on Visual Computing 被引量: 52发表: 2013年 Face Recognition: A Convolutional...
SM Azimi,R Bahmanyar - Dagm German Conference on Pattern Recognition 被引量: 0发表: 2024年 MFCLIP: Multi-modal Fine-grained CLIP for Generalizable Diffusion Face Forgery Detection The rapid development of photo-realistic face generation methods has raised significant concerns in society and academia...
In this paper, we present methods for face image quality evaluation. Gabor wavelets are used as basis features to estimate the symmetry and then to evaluate lighting and pose conditions. Discrete Cosine Transform (DCT) and Inverse DCT (IDCT) are used to calculate a degree of out-of-focus....
In addition to idiosyncratic variability, experiments described here aim to examine social evaluation across gender and familiarity as well as investigate the implications of trait inferences for face recognition. I then address social evaluation across modality, integrating visual information from the face...
The different editing methods are compared using the following metrics: LPIPS, which is a distance metric in terms of deep features between original image and edited image; Accuracy, which is the detection accuracy of a DeiT classifier;
Research on small-scale face detection methods in dense scenes Face detection serves as the core foundation for applications such as face analysis, recognition and reconstruction. In dense scenarios, the target scale d... Y Cao,B Zhang,C Wang,... - 《Applied Intelligence》 被引量: 0发表: ...