Hitoshi Imaoka

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We propose an algorithm for the detection of facial regions within input images. The characteristics of this algorithm are (1) a vast number of Gabor-type features (196,800) in various orientations, and with various frequencies and central positions, which are used as feature candidates in representing the patterns of an image, and (2) an information(More)
In recent years there have been great expectations of biometric authentication in view of increasing vicious crimes and terrorist threats. Biometric authentication is the automatic identification or identity verification of an individual based on physiological or behavioral characteristics such as fingerprint, iris, face, vein, voice, and so on. These kinds(More)
The energy model (Pollen & Ronner, 1983; Adelson & Bergen, 1985) for a complex cell in the visual cortex is investigated theoretically. The energy model describes the output of a complex cell as the squared sum of outputs of two linear operators. An information-maximization problem to determine the two linear operators is investigated assuming the low(More)
The authors propose a face recognition algorithm robust against the illumination variations, using an average face shape. The objective of this paper is two-fold: (1) to propose a new algorithm to estimate one of the illumination-invariant features, i.e., the surface reflectance from single appearance image, and (2) to apply this algorithm to images with(More)
A method for feature point tracking with partial occlusion handling is proposed. Occlusion causes distortion of entire face shape and not just the occluded part. To address this multiple models are learnt using regression, each aligning some part of the complete feature point set. A ranking SVM is then used to select the best feature points from among the(More)
This paper presents a biometric personal-authentication method that exploits acoustic characteristics of human ears. It transmits a probe signal into the ear and receives its reflection, which contains personal identity information about the shape of the ear canal. Based on a study of effective and efficient acoustic feature representation and the use of(More)
Supreeth Achar Hanno Ackermann Antonio Agudo N. Ahuja Zeynep Akata Karteek Alahari Paul Aljabar Y. J. Aloimonos Jose Alvarez Alexander Andreopoulos Bjoern Andres Anelia Angelova Stanislaw Antol Relja Arandjelovic Pablo Arbelaez Devansh Arpit Salman Asif Freddie Åström Laura Astola Vassilis Athitsos Mathieu Aubry Shai Avidan Arunava Banerjee J.P. Barreto(More)