Recognition Of Human Face Under Variant Poses And Partially Occluded Conditions
نویسندگان
چکیده
This work presents a study on the capacity of hidden Markov model (HMM) to serve as a unified approach towards two challenging problems, partially occluded faces and variant poses in face recognition. In the training stage, parameters of HMM are trained based on frontal, fully observed face images. In the testing stage, the recognition rates of HMM based face recognition system are computed based on partial face images and face images with variant poses. Experimental result indicates the performance of HMM based face recognition system is robust towards the above mentioned problems which are common in realistic video surveillance environment.
منابع مشابه
Detection of Partially Occluded Face Using Support Vector Machines
Partially occluded face detection is need, because although the technology of the Automated Teller Machines and face detection is increased, we cannot control the people who wear sunglasses or mask for the crime. To reject the occluded face, we first trained the features of the normal faces and the occluded faces that wear sunglasses or mask using Principal Component Analysis and Support Vector...
متن کاملRecognizing Partially Occluded Faces from a Single Exemplar Image Per Person
Despite remarkable progress on human face recognition, little attention has been given to robustly recognizing partially occluded faces. In this paper, we propose a new approach to recognize partially occluded faces when only one exemplar image per person is available. In this approach, a face image is represented as an array of Patch PCA (PPCA) extracted from a partitioned face image containin...
متن کاملHallucinating multiple occluded face images of different resolutions
Learning-based super-resolution has recently been proposed for enhancing human face images, known as ‘‘face hallucination’’. In this paper, we propose a novel algorithm to super-resolve face images given multiple partially occluded inputs at different lower resolutions. By integrating hierarchical patch-wise alignment and inter-frame constraints into a Bayesian framework, we can probabilistical...
متن کاملRecognising Partially Occluded Faces From a Video
Extensive research on video based face recognition has been carried out by researchers in the recent years as security is a major concern in today’s world. Performing a comparison of face recognition with a still face and upon a video, video is given more importance as it can give more information to the user compared with still face image. Even though video can provide widespread information o...
متن کاملHybridization of Facial Features and Use of Multi Modal Information for 3D Face Recognition
Despite of achieving good performance in controlled environment, the conventional 3D face recognition systems still encounter problems in handling the large variations in lighting conditions, facial expression and head pose The humans use the hybrid approach to recognize faces and therefore in this proposed method the human face recognition ability is incorporated by combining global and local ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2003