In the past decades linear scale-space theory was derived on the basis of various axiomatics. In this paper we revisit these axioms and show that they merely coincide with the following physical principles, namely that the image domain is a Galilean space, that the total energy exchange between a region and its surrounding is preserved under linear filtering and that the physical observables should be invariant under the group of similarity transformations. These observables are elements of the similarity jet spanned by natural coordinates and differential energies read out by a vision system.Furthermore, linear scale-space theory is extended to spatio-temporal images on bounded and curved domains. Our theory permits a delay-operation at th...
A basic requirement of scale-space representations in general is that of scale causality, which stat...
Linear scale-space theory provides a useful framework to quantify the differential and integral geom...
Abstract. A basic requirement of scale-space representations in general is that of scale causality, ...
In the past decades linear scale-space theory was derived on the basis of various axiomatics. In thi...
Abstract. In the past decades linear scale-space theory was derived on the basis of various axiomati...
An inherent property of objects in the world is that they only exist as meaningful entities over cer...
The formulation of afront-end orearly vision system is addressed, and its connection with scale-spac...
This thesis, within the subfield of computer science known as computer vision, deals with the use of...
This thesis addresses two important topics in developing a systematic space-time geometric approach ...
The notion of multi-scale representation is essential to many aspects of early visual processing. Th...
Why and how one should study a scale-space is prescribed by the universal physical law of scale inva...
A basic problem when deriving information from measured data, such as images, originates from the fa...
A generalization of linear Gaussian scale-space theory for scalar images is proposed, based on a par...
A basic requirement of scale-space representations in general is that of scale causality, which stat...
Linear scale-space theory provides a useful framework to quantify the differential and integral geom...
Abstract. A basic requirement of scale-space representations in general is that of scale causality, ...
In the past decades linear scale-space theory was derived on the basis of various axiomatics. In thi...
Abstract. In the past decades linear scale-space theory was derived on the basis of various axiomati...
An inherent property of objects in the world is that they only exist as meaningful entities over cer...
The formulation of afront-end orearly vision system is addressed, and its connection with scale-spac...
This thesis, within the subfield of computer science known as computer vision, deals with the use of...
This thesis addresses two important topics in developing a systematic space-time geometric approach ...
The notion of multi-scale representation is essential to many aspects of early visual processing. Th...
Why and how one should study a scale-space is prescribed by the universal physical law of scale inva...
A basic problem when deriving information from measured data, such as images, originates from the fa...
A generalization of linear Gaussian scale-space theory for scalar images is proposed, based on a par...
A basic requirement of scale-space representations in general is that of scale causality, which stat...
Linear scale-space theory provides a useful framework to quantify the differential and integral geom...
Abstract. A basic requirement of scale-space representations in general is that of scale causality, ...