Face De-Identification
نویسندگان
چکیده
With the emergence of new applications centered around the sharing of image data, questions concerning the protection of the privacy of people visible in the scene arise. In most of these applications knowledge of the identity of people in the image is not required. This makes the case for image de-identification, the removal of identifying information from images, prior to sharing of the data. Privacy protection methods are well established for field-structured data, however, work on images is still limited. In this chapter we review previously proposed naı̈ve and formal face de-identification methods. We then describe a novel framework for the deidentification of face images using multi-factor models which unify linear, bilinear, and quadratic data models. We show in experiments on a large expression-variant face database that the new algorithm is able to protect privacy while preserving data utility. The new model extends directly to image sequences, which we demonstrate on examples from a medical face database.
منابع مشابه
Photorealistic Face De-Identification by Aggregating Donors' Face Components
With the adoption of pervasive surveillance systems and the development of efficient automatic face matchers, the question of preserving privacy becomes paramount. In this context, automated face de-identification is revived. Typical solutions based on eyes masking or pixelization, while commonly used in news broadcasts, produce very unnatural images. More sophisticated solutions were sparingly...
متن کاملIdentification des spirochètes recurrents-Individualité de l'espèce SPIROCHAETA RECURRENTIS
متن کامل
Real-time Face Swapping in Video Sequences: Magic Mirror
Magic Mirror is a face swapping tool that replaces the user’s face with a selected famous person’s face in a database. The system consists of a user interface from which the user can select one of the celebrities listed. Upon selection, model fitting automatically starts using the results of face detection and facial feature localization. Model fitting results in a set of points which describe ...
متن کاملModel-Based De-Identification of Facial Images
Recent advances in both camera technology as well as supporting computing hardware have made it significantly easier to acquire, transmit, process and store large amounts of image data. As a consequence a number of image databases, specifically face databases, have been collected, often with the expressed goal of sharing the data with others. Due to concerns about the privacy of the individuals...
متن کاملAchieving Anonymity against Major Face Recognition Algorithms
An ever-increasing number of personal photos is stored online. This trend can be problematic, because face recognition software can undermine user privacy in unexpected ways. Face de-identification aims to prevent automatic recognition of faces thus improving user privacy, but previous work alters the image in a way that makes them indistinguishable for both computers and humans, which prevents...
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 2005