The use of virtual environments in functional imaging experiments is a promising method to investigate and understand the neural basis of human navigation and self-motion perception. However, the supine position in the fMRI scanner is unnatural for everyday motion. In particular, the head-horizontal self-motion plane is parallel rather than perpendicular to gravity. Earlier studies have shown t...

This paper describes experiments in estimation and control of the fixation point with a 10 degree of freedom head-neck-body system. A system has been constructed which uses standard kinematic techniques to estimate the fixation point. Two approaches have been investigated to control the fixation point: 3D kinematic estimation and 2D visual servoing. Kinematics is shown to be efficient provided ...

Despite learning based methods showing promising results in single view depth estimation and visual odometry, most existing approaches treat the tasks in a supervised manner. Recent approaches to single view depth estimation explore the possibility of learning without full supervision via minimizing photometric error. In this paper, we explore the use of stereo sequences for learning depth and ...

The human visual system (HVS) has a limited sensitivity in perceiving visual information such that visual masking estimation is helpful to improve the performance of image processing techniques. Most existing research efforts only focus on the methods of assessing the visual masking for gray images. In this paper, a spatial masking estimation utilizing the free-energy principle to measure just ...

Three experiments, using temporal generalization and verbal estimation methods, studied judgements of duration of auditory (500-Hz tone) and visual (14-cm blue square) stimuli. With both methods, auditory stimuli were judged longer, and less variable, than visual ones. The verbal estimation experiments used stimuli from 77 to 1183 msec in length, and the slope of the function relating mean esti...

In this paper, a feature-based technique for the camera pose estimation in a sequence of wide-baseline images has been proposed. Camera pose estimation is an important issue in many computer vision and robotics applications, such as, augmented reality and visual SLAM. The proposed method can track captured images taken by hand-held camera in room-sized workspaces with maximum scene depth of 3-4...

Preface This thesis has been prepared at the IMSOR group of the Institute of Mathematical Modelling (IMM), the Technical University of Denmark, in partial fulfillment of the requirements for the degree of Ph.D. in engineering. The thesis discuss different aspects of the problem of estimating the visual motion given a sequence of images. The treatment of the subject is not exhaustive, nor detail...

We present a vision system that automatically predicts yield in vineyards accurately and with high resolution. Yield estimation traditionally requires tedious hand measurement, which is destructive, sparse in sampling, and inaccurate. Our method is efficient, high-resolution, and it is the first such system evaluated in realistic experimentation over several years and hundreds of vines spread o...

This paper describes a sophisticated method to estimate visual direction using iris contours. This method requires only one monocular image taken by a camera with unknown focal length. In order to estimate the visual direction, we assume the visual directions of both eyes are parallel and iris boundaries are circles in 3D space. In this case, the two planes where the iris boundaries reside are ...