Extraction of Point-of-Interest in Multispectral Images for Face Recognition

Abstract

Security systems in companies, airports, enterprises, etc. face numerous challenges. Among the major ones there is objects or face recognition. The problem with the robustness of recognition systems that usually affects color images nowadays can be addressed by multispectral image acquisition in the near infrared range with cameras equipped with new high performance sensors able to take images in dark or uncontrolled environments with much more accuracy. Multispectral CMOS (Complementary Metal Oxide Semi-conductor) sensors in a single shot record several wavelengths that are isolated and allow very specific analyses. They are equipped with new acquisition methods and provide observations that are more accurate. The current generation of these imaging sensors involve scientific and technical interest because they provide much more information than those that operate in visible range; precise nature and spatiotemporal evolution of the areas need to be analyzed. In this study, multispectral images acquired by camera equipped with a hybrid sensor operating in near infrared has been used. This camera is built in the ImViA laboratory of the University of Bourgogne as part of the European project EXIST (EXtended Image Sensing Technologies). The process involved in image acquisition, image mosaicing and image demosaicing by using mosaic filters. After acquisition process the interest points be extract in these bands of images in order to know how information is shared out all over the bands. The results were satisfactory because information is spread all over the images bands and the algorithms used also have detected many interest points. Based on the results, a large database can be set up for a face recognition system building.