In this paper we present the main current techniques allowing intelligent scene display and exploration. These techniques are based on estimation of the visual pertinence of a view. Various geometric criteria, such as number of visible polygons, visible projected area of the scene, curvature or mesh salience are used to estimate visual pertinence. Other techniques try to take into account non-g...

In this paper we address the problem of visual motion estimation (visual odometry) from a single vehicle mounted camera. One of the basic issues of visual odometry is relative scale estimation. We propose a method to compute locally optimal relative scales by minimizing the reprojection error using windowed bundle adjustment. We introduce a minimal parameterization of the bundle adjustment prob...

Motion detection/estimation plays a crucial role in dynamic visual tracking. Whether a dynamic visual tracking system can successfully track a moving target closely depends on the quality of motion detection/estimation results. In dynamic visual tracking, the camera used to capture images is not stationary, so any slight vibration of the camera motion or the target motion can lead to a blurry i...

The estimation of visual motion has long been studied as a paradigmatic neural computation, and multiple models have been advanced to explain behavioral and neural responses to motion signals. A broad class of models, originating with the Reichardt correlator model, proposes that animals estimate motion by computing a temporal cross-correlation of light intensities from two neighboring points i...

We conducted six experiments to examine how manipulating perception versus action affects perception-action recalibration in real and imagined blindfolded walking tasks. Participants first performed a distance estimation task (pretest) and then walked through an immersive virtual environment on a treadmill for 10 min. Participants then repeated the distance estimation task (posttest), the resul...

Acorn production plays a fundamental role in the organization and dynamics of oak forest ecosystems. Regarding acorn importance, visual survey methods have been used to estimate acorn production of oak species throughout the world. In this study, the mast indices of Brant`s oak (Quercus brantii Lindl.) were determined in a section of northern Zagros forests, almost 36 ha area, near Baneh, Kurdi...

In this chapter, both visual servoing and pose estimation from a set of points are dealt with. More precisely, a unique scheme based on the projection onto the unit sphere for cameras obeying the unified model is proposed. From the projection onto the surface of the unit sphere, new visual features based on invariants to rotations are proposed. It is shown that satisfactory results can be obtai...

We present an unsupervised technique for visual target modeling which is based on density estimation in high-dimensional spaces using an eigenspace decomposition. A computationally eecient and optimal estimator for a multivariate Gaussian distribution is derived. This density estimate is then used to formulate a maximum likelihood estimation framework for visual search and target detection. Our...

In this paper we combine a state of the art eye center locator and a new eye corner locator into a system which estimates the visual gaze of a user in a controlled environment (e.g. sitting in front of a screen). In order to reduce to a minimum the computational costs, the eye corner locator is built upon the same technology of the eye center locator, tweaked for the specific task. If high mapp...

It has previously been reported that humans can determine their direction of 3D translation (heading) from the 2D velocity field of retinal motion experienced during self-motion through a rigid environment, as is done by current computational models of visual heading estimation from optic flow. However, these claims were supported by studies that used stimuli that contained low rotational flow ...