Faces are highly deformable objects which can easily change their appearance over time. All face areas are not subjected to the same variability. Hence decoupling the information from independent areas of the face is of much importance to improve the robustness and efficiency of any face recognition technique.So in this paper the SIFT (Scale Invariant Feature Transform) and Viola Jones Framework is proposed for efficient face recognition using Nearest neighbor classifier. The proposed framework works efficiently on ORL face dataset even under the challenges of varying expression, varying pose, occlusion with the recognition rate of 90%. KEYWORDS
International audienceBearing information by a fully interconnected subgraphs is recently improved i...
International audienceBearing information by a fully interconnected subgraphs is recently improved i...
Part 6: Classification Pattern RecognitionInternational audienceThe object of interest of this paper...
In this paper we present a face recognition system based on the Scale Invariant Feature Transform (S...
In this paper we present a face recognition system based on the Scale Invariant Feature Transform (S...
The aim of this project is to develop a face recognition system based on Scale-Invariant Feature Tra...
Scale Invariant Feature Transform (SIFT) proposed by Lowe has been widely and successfully applied t...
Two of the most important state-of-the-art challenges in face recognition are: dealing with image ac...
Two of the most important state-of-the-art challenges in face recognition are: dealing with image ac...
In this paper, face recognition using the most representative SIFT images is presented. It is based ...
Proceedings of the 4th Indian International Conference on Artificial Intelligence, IICAI 20091914-19...
The main goal of this work is to develop a fully automatic face recognition algorithm. Scale Invaria...
There is a great deal of systems dealing with image processing that are being used and developed on ...
International audienceBearing information by a fully interconnected subgraphs is recently improved i...
International audienceBearing information by a fully interconnected subgraphs is recently improved i...
International audienceBearing information by a fully interconnected subgraphs is recently improved i...
International audienceBearing information by a fully interconnected subgraphs is recently improved i...
Part 6: Classification Pattern RecognitionInternational audienceThe object of interest of this paper...
In this paper we present a face recognition system based on the Scale Invariant Feature Transform (S...
In this paper we present a face recognition system based on the Scale Invariant Feature Transform (S...
The aim of this project is to develop a face recognition system based on Scale-Invariant Feature Tra...
Scale Invariant Feature Transform (SIFT) proposed by Lowe has been widely and successfully applied t...
Two of the most important state-of-the-art challenges in face recognition are: dealing with image ac...
Two of the most important state-of-the-art challenges in face recognition are: dealing with image ac...
In this paper, face recognition using the most representative SIFT images is presented. It is based ...
Proceedings of the 4th Indian International Conference on Artificial Intelligence, IICAI 20091914-19...
The main goal of this work is to develop a fully automatic face recognition algorithm. Scale Invaria...
There is a great deal of systems dealing with image processing that are being used and developed on ...
International audienceBearing information by a fully interconnected subgraphs is recently improved i...
International audienceBearing information by a fully interconnected subgraphs is recently improved i...
International audienceBearing information by a fully interconnected subgraphs is recently improved i...
International audienceBearing information by a fully interconnected subgraphs is recently improved i...
Part 6: Classification Pattern RecognitionInternational audienceThe object of interest of this paper...