منابع مشابه
Recognizing Face Images with Disguise Variations
Challenges in automatic face recognition can be classified in several categories such as illumination, image quality, expression, pose, aging, and disguise. In this chapter, the authors focus on recognizing face images with disguise variations. Even though face recognition with disguise variations is a major challenge, the research studies on this topic are limited. In this study, first disguis...
متن کاملThe Imaging Issue in an Automatic Face / Disguise Detection System
Automatic face recognition systems have made great strides in the past 10 years. They still, however, cannot cope with changes due to lighting and cannot detect disguises. Both of these issues are critical for the employment of face recognition systems in high security applications, such as embassy perimeters, federal plazas, and the like. We propose novel imaging solutions that address these d...
متن کاملFace recognition with disguise and single gallery images
This paper presents a face recognition algorithm that addresses two major challenges. The first is when an individual intentionally alters the appearance and features using disguises, and the second is when limited gallery images are available for recognition. The algorithm uses a dynamic neural network architecture to extract the phase features of the face texture using 2D log polar Gabor tran...
متن کاملIdentification of Voice Disguise for Various Disguising Factors using PNN
Voice disguise produces a negative impact on the forensic department, as it is difficult to analyse the voice as well as to identify the speaker or the criminal, who is doing such kind of criminal activity. In this paper, we will be extracting mel-frequency cepstral coefficient as acoustic feature, as it plays a very important role in voice detection and then we will be using probabilistic neur...
متن کاملAddressee Identification in Face-to-Face Meetings
We present results on addressee identification in four-participants face-to-face meetings using Bayesian Network and Naive Bayes classifiers. First, we investigate how well the addressee of a dialogue act can be predicted based on gaze, utterance and conversational context features. Then, we explore whether information about meeting context can aid classifiers’ performances. Both classifiers pe...
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ژورنال
عنوان ژورنال: Journal of Experimental Psychology: Applied
سال: 2019
ISSN: 1939-2192,1076-898X
DOI: 10.1037/xap0000213