Assessment of Time Dependency in Face Recognition: An Initial Study
نویسندگان
چکیده
As face recognition research matures and products are deployed, the performance of such syslemsis being scrutinized by many constituencies. Performance factors of strong practical interest include the elapsed time betwccn a subject's enrollment and subsequent acquisition of an unidentified face image, and the number of images of each subject available. In this paper, a long-term image acquisition project currently underway is described and data from the pilot study is examined. Experimental results suggest that (a) recognition perJormance is substantiaUy poorer when unknown images are acquired on a different day from the enrolled images, (b) degradation in performance does not follow a simple predictable pattern with time between known and unknown image acquisition, and (c) performance figures quoted in the literature based on known and unknown image sets acquired on the same day may have little practical value.
منابع مشابه
Magneto-electro-mechanical size-dependent vibration analysis of three-layered nanobeam with initial curvature considering thickness stretching
Thickness stretching effect based on shear and normal deformation theory is used in this paper for magneto-electro-elastic vibration analysis of a three-layered curved nanobeam including a nano core and two piezo-magnetic layers. Size-dependency is included in derivation of governing equations of motion based Eringen's nonlocal elasticity theory. The initial curvature is accounted in calculatio...
متن کاملMagneto-electro-mechanical size-dependent vibration analysis of three-layered nanobeam with initial curvature considering thickness stretching
Thickness stretching effect based on shear and normal deformation theory is used in this paper for magneto-electro-elastic vibration analysis of a three-layered curved nanobeam including a nano core and two piezo-magnetic layers. Size-dependency is included in derivation of governing equations of motion based Eringen's nonlocal elasticity theory. The initial curvature is accounted in calculatio...
متن کاملAssessment of Time Dependency in Face Recognition
An important topic in face recognition is to determine the proper level of training—both in training set size and quality—for efficient learning of a face recognition algorithm. Another topic is the effect of time lapse between the target image and the query image on recognition performance. Both topics require a large set of face images where the same subjects have their images acquired repeat...
متن کاملExploring Emotion Recognition Patterns among Iranian People Using CANTAB as an Approved Neuro-Psychological Assessment
Background: Emotion Recognition is the main component of social cognition and has various patterns in different cultures and nationalities. The present study aimed to investigate emotion recognition patterns among Iranians using the Cambridge Neuro-Psychological Test Automated Battery (CANTAB) as a valid neuropsychological test. Methods: In this descriptive-analytical study, 117 males and fema...
متن کاملSupervised Feature Extraction of Face Images for Improvement of Recognition Accuracy
Dimensionality reduction methods transform or select a low dimensional feature space to efficiently represent the original high dimensional feature space of data. Feature reduction techniques are an important step in many pattern recognition problems in different fields especially in analyzing of high dimensional data. Hyperspectral images are acquired by remote sensors and human face images ar...
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