Illumination effects in face recognition

نویسندگان

  • W L. Braje
  • D Kersten
  • M J. Tarr
  • Wendy L. Braje
  • Daniel Kersten
  • Michael J. Tarr
  • Nikolaus F. Troje
چکیده

How do observers recognize faces despite dramatic image variations that arise from changes in illumination? This paper examines 1) whether face recognition is sensitive to illumination direction, and 2) whether cast shadows improve performance by providing information about illumination, or hinder performance by introducing spurious edges. In Experiment 1, observers judged whether 2 sequentially-presented faces, illuminated from the same or different directions, were the same or different individuals. Cast shadows were present for half of the observers. Performance was impaired by a change in the illumination direction and by the presence of shadows. In Experiment 2, observers learned to name 8 faces under one illumination direction (left/right) and one cast-shadow condition (present/absent); they were later tested under novel illumination and shadow conditions. Performance declined for unfamiliar illumination directions, but not for unfamiliar shadow conditions. The finding that face recognition is illumination dependent is consistent with the use of image-based representations. The results indicate that face recognition processes are sensitive to either the direction of lighting or the resultant pattern of shading, and that cast shadows can hinder recognition, possibly by masking informative features or leading to spurious contours.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

بهبود محلی کیفیت تصاویر چهره با سایه شدید به منظور ارتقاء شناسایی

Varying illuminations, especially the side lighting effects in face images, is one of the major obstacles in face recognition systems. Various methods have been presented for face recognition under different lighting conditions witch require previous knowledge about Light source and shadow area. In this paper, a novel approach based on H-minima transform to image segmentation and illumination n...

متن کامل

An Efficient Face Recognition under Varying Image Conditions

Performance of the face verification system depends on many conditions. One of the most problematic is varying illumination condition. Making recognition more reliable under uncontrolled lighting conditions is one of the most important challenges for practical face recognition systems. Our paper presents a simple and efficient preprocessing method that eliminates most of the effects of changing...

متن کامل

Implementation of a New Methodology to Reduce the Effects of Changes of Illumination in Face Recognition-based Authentication

In this paper, the study of the effects of illumination changes in the process of face recognition is discussed. Additionally, a new methodology that integrates Single-Scale Retinex (SSR) and Scale Invariant Feature Transform (SIFT) is presented. The proposed methodology addresses the problem of illumination changes in face recognition-based authentication systems. To do this, the SSR transform...

متن کامل

On the Effect of Illumination and Face Recognition

Illumination affects the appearance of an object in numerous ways, and the resulting variation in appearance is a major source of difficulty for designing many image-based applications such as face recognition. Partially because of this, the importance of understanding illumination effects has long been appreciated. However, only in the past few years, with the emergence of a wealth of new idea...

متن کامل

Subspace-based face recognition: outlier detection and a new distance criterion

Illumination effects, including shadows and varying lighting, makes the problem of face recognition challenging. Experimental and theoretical results show that the face images under different illumination conditions lie in a low-dimensional subspace, hence principal component analysis (PCA) or low-dimensional subspace techniques have been used. Following this spirit, we propose new techniques f...

متن کامل

2D Spherical Spaces for Face Relighting under Harsh Illumination

In this paper, we propose a robust face relighting technique by using spherical space properties. The proposed method is done for reducing the illumination effects on face recognition. Given a single 2D face image, we relight the face object by extracting the nine spherical harmonic bases and the face spherical illumination coefficients. First, an internal training illumination database is gene...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 1998