We introduce a new 3D tubular intensity model in conjunction with a model fitting scheme for accurate segmentation and quantification of small tubular structures in 3D vascular images. The tubular model is formulated based on principles of the image formation process. Compared to previous straight models, the new model allows to accurately represent curved tubular structures, to directly estima...

Abs t r ac t . Image formation of a two-dimensional input image can be quantified by imposing an image induced connection and computing the associated torsion and curvature. The latter aspects of image formation are especially nonvanishing at sets of discontinuities and non-isolated singularities, such as ridges and ruts. Next dynamic scale-space theories for the input image are constructed on ...

The image formation process involves both geometric and photometric aspects. The definition of optical flow is descriptive and the conformity of optical flow to motion flow is closely related to the algorithm, or the assumption that one takes for optical flow computation. This paper presents an algorithm for optical flow computation based on the mass-conserving assumption by first showing that ...

The use of projectors in various applications and environments has raised the need to adapt the displayed image to the viewing display environment. The displayed image under bright light may appear with washed colors and attenuated contrast. Similarly, the appearance of the displayed image may be affected by the reflectance and the geometry of the projection screen. Based on the model of the pe...

The radar image formation model, which takes into account the system, object and underlying surfaces parameters, is presented in the paper. Objects detection and separation approach based on grouping of spots on the radar image are given. Considered approach based on grouping some “spots” acquired from a separate object with the assumption of spatial relations of these spots. Summary. Artykuł p...

Many geometric invariants have been reported in the literature. For two speciic diierential scale invari-ants we discuss the parameters involved and analyze the accuracy of their computation on real camera data. Our experimental data show signiicant errors in the observed values. Those errors seem to be inherent in the image formation and scaling process. They indicate the limitations of local ...

This chapter concerns problems of learning patterns in images and image sequences, and using the obtained patterns for interpreting new images. The chapter concentrates on three problem areas: (i) semantic interpretation of color images of outdoor scenes, (ii) detection of blasting caps in x-ray images of luggage, and (iii) recognizing actions in video image sequences. It discusses the image fo...

The work presents a methodology contributing to boundary extraction in images of approximate polyhedral objects. We make extensive use of basic principles underlying the process of image formation and thus reduce the role of object-specific knowledge. Simple configurations of line segments are extracted subject to geometric-photometric compatibilities. The perceptual organization into polygonal...

In this paper we address the problem of f inding the spatial position and orientation of an object from a single image. It is assumed that the image formation process and an object model are known in advance. Sets of image lines are backprojected and constraints on their spatial interpretations are derived. A search space is then constructed where each node represents a space feature with a mod...

Consumers’ understandings of marketing are related to their product attitudes or brand image formation. However, little empirical evidence exists of what marketing means to consumers. This study documents a new term called conceptions of marketing, which refers to the beliefs and understandings held by consumers about marketing. The purpose of this research is to investigate the variation in ho...