[PDF] Top 20 Enhanced face recognition methods

... on face recognition can be traced back at least to the 1950s and in the engineering literature, the studies started on the 1960s ...machine recognition of faces initiated in the 1960s [36] ...machine ... Voir le document complet

... as face recognition [ Jain et Unsang , 2009 ], head pose estimation [ Murphy- Chutorian et Trivedi , 2009 ], face tracking [ Zhou et ...a face in a video, many methods use Active ... Voir le document complet

... 2. Local regions/ features approaches: Another com- mon framework, especially for handling expression variability, is based on matching only parts or regions rather than matching full faces. Lee et al. [15] use ratios of ... Voir le document complet

... Abstract: Face recognition is one of the most active research fields of computer vision and pattern recognition, with many practical and commercial applications including identification, access ... Voir le document complet

... form face identification experiments using the synthesized photos by different methods to see whether they are able to improve face identification ...state-of-the-art methods from rank-1 to ... Voir le document complet

... the face analysis is given by the individual description of its parts and their relationships, this model corresponds to the manner of perception by the human visual ...The methods of this approach are ... Voir le document complet

... the face recognition ...ORL face database was used to show the power of the proposed Fuzzy-HOG when compared to other widely used methods in face recognition ...others ... Voir le document complet

... appearance-based methods often dete- riorates rapidly when face patterns are subjects to large variations in viewpoints, illu- mination or facial ...is enhanced in the new LDA ... Voir le document complet

... diverse face representations and accordingly improve the robustness to various capture ...on methods that are based on augmenting the reference gallery set through synthetic set, and by taking into account ... Voir le document complet

... correlation methods have been proposed [13-15], up to now, they all face technical challenge to implement, notably those using spatial light modulators (SLMs) [16] because these methods are very ... Voir le document complet

... 3D face recognition, curvilinear coordi- nate system, elastic ...Automatic face recognition has actively been researched in recent years, and various techniques using ideas from 2D image ... Voir le document complet

... face recognition ...typical face databases ...3D face recognition techniques have different capabilities in treating different facial ...2D face recognition ... Voir le document complet

... Constructing deeper networks help learning better representations and many studies show that lower layers learn simple features like linear edge detectors when higher layers combine the features received from previous ... Voir le document complet

... The field of deep learning progresses rapidly and almost con- tinuously provides solutions to seemingly challenging problems. However, this is facilitated by the existence of large and freely availed databases, which are ... Voir le document complet

... 4. Conclusion We presented a non-constraint face-swapper based on 3D visual tracking that achieves real-time performance through parallel computing. Our imitator system is par- ticularly suited for experiments ... Voir le document complet

... Figure 7: Recognition examples. For each pair, the probe (on the left) and the retrieved (on the left) faces are reported. We can see in figure 7 (top row) an examples of well matched faces although its pose ... Voir le document complet

... 3D face recognition: Several methods have been proposed to analyze the discriminative power of different facial regions or features for face ...a face is represented as a vector of ... Voir le document complet

... years, face recognition perfor- mance has significantly ...process face images in a patch-wise manner, also referred to as “part- wise”, “image block-wise” or “sub-region-wise”, ...to face ... Voir le document complet

... Figure 1: A classification of image processing techniques for LVA Contrast Contrast enhancement is a standard technique in the sense of its low computa- tional complexity and hence relative long history. On an extended ... Voir le document complet

... to face various difficulties in exploiting advanced machine learning methods for accurate analysis of rice ...Entities Recognition (NER) tagger, which is built from a Long Short Term Memory model, ... Voir le document complet