In this paper we present a new camera calibration method aimed at finding a straight-line locus, in a special colour feature space, that is traversed by daylights and as well also approximately followed by specular points. The aim of the calibration is to enable recovering the colour of the illuminant in a scene, using the calibrated camera. First we prove theoretically that any candidate specu...

This work presents a new methodology to animate liquid objects depicted in a still image. In contrast to existing techniques, the proposed method relies on a physical model to accomplish the animation, resulting in realistic effects. Image perspective is handled through a simple user assisted camera calibration scheme which allows to project the image layers to be animated into the horizontal p...

The background for this work was the wish of a German photographic magazine to have a method for measuring the colour reproduction quality of digital still picture cameras, as well as their ability to be integrated in a colour management workflow. With scanners, characterisation is less difficult because they always use the same light source, and the colours in the photographic materials that a...

The meteorological visibility estimation is an important task, for example, in road traffic control and aviation safety, but its reliable automation is difficult. The conventional light scattering measurements are limited into a small space and the extrapolated values are often erroneous. The current meteorological visibility estimates relying on a single camera work only with data captured in ...

Declarative approaches to lighting design model image quality using an objective function that captures the desired visual properties of an object or scene. The value of the objective function is optimized for a particular camera configuration through the manipulation of the lighting parameters of a scene. We review the notion of declarative lighting design, and introduce LightOp, a tool by whi...

We present a dynamic near-regular texture (NRT) tracking algorithm nested in a lattice-based Markov-Random-Field (MRF) model of a 3D spatiotemporal space. One basic observation used in our work is that the lattice structure of a dynamic NRT remains invariant despite its drastic geometry or appearance variations. On the other hand, dynamic NRT imposes special computational challenges to the stat...

Most vision-based system for lane detection and tracking use painted lane markings as the visual cues which determine the location of the camera relative to the lane. Almost all of the work that has been done in the area of evaluating the pegformance of these systems has focused on the accuracy of the recovered lane geometry. Reliability of feature detection as a function of intrinsic marking p...

In this paper a method to control and teach industrial robots in real-time by human demonstration is presented. This system uses high-intensity visual markers that make it sufficiently robust for industrial environments not requiring special lighting. An automated camera calibration method was implemented which enables any non-skilled user a quick and easy configuration of the system. The teach...

With the rapid technological advancement in vision systems, the advantages of vision based system as the sensing device have influenced the quality of the Robot Soccer game. This study presents an approach to produce a balanced image in terms of brightness under un-uniform lighting environment through the control of lens iris opening. Existing image processing module and CCD camera were used to...

We describe a novel viewpoint-lighting ambiguity which we call the KGBR. This ambiguity assumes orthographic projection or an affine camera, and uses Lambertian reflectance functions including cast/attached shadows and multiple light sources. A KGBR transform alters the geometry (by a three-dimensional affine transformation) and albedo properties of objects. If two objects are related by a KGBR...