We investigate whether observers take into account their visual uncertainty in an optimal manner in a perceptual estimation task with explicit rewards and penalties for performance. Observers judged the mean orientation of a briefly presented texture consisting of a collection of line segments. The mean and, in some experiments, the variance of the distribution of line orientations changed from...

Visual motion is the projection of scene movements on a visual sensor. It is a rich source of information for the analysis of a visual scene. Especially for dynamic vision systems the estimation of visual motion is important because it allows to deduce the motion of objects as well as the self-motion of the system relative to the environment. Therefore, visual motion serves as a basic informati...

This paper describes a technique used to approximate the surface of an object’s visual hull. The hull’s basic structure is initially represented by a partitioned 3D space using voxels. The marching cubes algorithm then assigns polygonal patches to surface voxels depending on a certain criteria. It is less computationally intensive to manipulate a few triangular patches than a number of six-face...

Visual estimation of numerosity involves the discrimination of magnitude between two distributions or perceptual sets that vary in number of elements. How performance on such estimation depends on peripheral sensory stimulation is unclear, even in typically developing adults. Here, we varied the central and surround contrast of stimuli that comprised a visual estimation task in order to determi...

This paper investigates cooperative estimation of 3D target object motion for visual sensor networks. In particular, we consider the situation where multiple smart vision cameras see a group of target objects. The objective here is to meet two requirements simultaneously: averaging for static objects and tracking to moving target objects. For this purpose, we present a cooperative estimation me...

Recently, discriminative correlation filter-based method becomes one of the popular directions in the field of visual tracking because of its computational efficiency and excellent performance, which make it especially suitable for real-time application. Most of them are focused only on the transition estimation. However, accurate scale estimation of the target plays a very important role in lo...

Object tracking is an important issue for research and application related to visual servoing and more generally for robot vision. In this paper, we address the problem of realizing visual servoing tasks on complex objects in real environments. We briefly present a set of tracking algorithms (2D features-based or motion-based tracking, 3D model-based tracking, . . . ) that have been used for te...

This work proposes a visual odometry method that combines points and plane primitives, extracted from a noisy depth camera. Depth measurement uncertainty is modelled and propagated through the extraction of geometric primitives to the frame-to-frame motion estimation, where pose is optimized by weighting the residuals of 3D point and planes matches, according to their uncertainties. Results on ...

This paper describes developmental results of a new high-accuracy 2D visual marker for space application. It shows the results of experiments to evaluate the space environmental tolerance of the previous visual marker. It also shows the new redesigned marker based on the experimental results in conjunction with evaluation results of pose and position estimation by image processing. This new mar...