Saccadic eye movements facilitate rapid and efficient exploration of visual scenes, but also pose serious challenges to establishing reliable spatial representations. This process presumably depends on extraretinal information about eye position, but it is still unclear whether afferent or efferent signals are implicated and how these signals are combined with the visual input. Using a novel ga...

A novel method for eye and mouth detection and eye center and mouth corner localization, based on geometrical information is presented in this paper. First, a face detector is applied to detect the facial region, and the edge map of this region is calculated. The distance vector field of the face is extracted by assigning to every facial image pixel a vector pointing to the closest edge pixel. ...

Earlier state-of-art algorithms of iris recognition system works well for ideal-data, because of the perfect iris localization algorithms. The same ideal-algorithm suffers a lot under non-ideal data. Nonideal-data refers to eye image captured under unconstrained environments, such as non-uniform illumination, image captured at a distance, eye image with reflections, blurred image, off-axis eye ...

This paper shows an original 3D facial feature localization method. The localization of feature points in the face is a relevant step that allows the normalization of the data in size and orientation. This stage is essential previous to a range data calculation or a verification process. The localization procedure proposed is based on both, clustering techniques over discrete curvatures calcula...

Reliable detection of irises is a necessary precondition for any iris-based biometric identification system. It is also important in measuring the movement of eyes in applications such as alertness detection and eye-guided user interfaces. This paper introduces a novel iterative algorithm for the accurate and fast localization of irises in eye images.

This paper presents a face localization and tracking algorithm which is based upon skin color detection and principle component analysis (PCA) based eye localization. Skin color segmentation is performed using statistical models for human skin color. The skin color segmentation task results in a mask marking the skin color regions in the actual frame, which is further used to compute the positi...

Neurons in the parietal cortex represent spatial memory of visual stimuli in an eye-centered coordinate frame. To preserve spatial stability across eye movements, spatial memory must be updated during each eye movement. Because eye movement signals in the parietal cortex are known to be modulated by eye position in the orbit, estimates of eye displacement on the basis of these signals could als...

The ability of virtual auditory environments and sound reproduction techniques to provide well localized virtual sources is a key feature. Experiments that judge the localization are hence amongst the first ones performed in evaluation. One difficulty in such experiments lies in reporting the perceived direction by the test subjects. Various exoand egocentric methods have been developed and use...

Neurons in the parietal cortex represent spatial memory of visual stimuli in an eye-centered coordinate frame. To preserve spatial stability across eye movements, spatial memory must be updated during each eye movement. Because eye movement signals in the parietal cortex are known to be modulated by eye position in the orbit, estimates of eye displacement on the basis of these signals could als...

To investigate the effect of the visual stimulus configuration on localization when oculomotor performance is excluded, we evaluated the errors made when subjects compare the horizontal location of two sequentially presented peripheral targets while looking at a visual or memorized fixation spot. Eye position was monitored by means of an infrared eye tracker. Significant localization errors wer...