Showing papers by "Tony Lindeberg published in 1992"
TL;DR: Elementary techniques from real analysis, and singularity theory are applied to derive analytical results for the behaviour in scale-space of critical points and related entities.
Abstract: Elementary techniques from real analysis, and singularity theory are applied to derive analytical results for the behaviour in scale-space of critical points and related entities. The main results of the treatment comprise
• a description of the general nature of trajectories of critical points in scale-space
• estimates of the drift velocity of critical points and straight edges
• an analysis of the qualitative behaviour of critical points in bifurcation situations
• a classification of what types of blod events are possible
86 citations
19 May 1992
TL;DR: This work considers how junction detection and classification can be performed in an active visual system to exemplify that feature de-tection and classification in general can be done by both simple and robust methods, if the vision system is allowed to look at the world rather than at prerecorded images.
Abstract: We consider how junction detection and classification can be performed in an active visual system. This is to exemplify that feature de-tection and classification in general can be done by both simple and robust methods, if the vision system is allowed to look at the world rather than at prerecorded images. We address issues on how to attract the attention to salient local image structures, as well as on how to characterize those.
51 citations
TL;DR: A multi-scale representation of grey-level shape that makes explicit features in scale-space as well as the relations between features at different levels of scale is presented, which gives a qualitative description of the image structure that allows for extraction of significant image structure in a solely bottom-up data-driven manner.
47 citations
Journal Article•
8 citations
01 Jan 1992
6 citations
01 Jan 1992
1 citations
02 Jan 1992
TL;DR: Theories and methodologies for representing and abstracting shape from visual information are a major concern in computational vision as mentioned in this paper, and important contributions have been made on e.g. theories of dynamic shape, on the detection of salient structures like symmetries and discontinuities and also on the use of mathematical techniques of optimization and approximation.
Abstract: Theories and methodologies for representing and abstracting shape from visual information are a major concern in computational vision. Important contributions have been made on e.g. theories of dynamic shape, on the detection of salient structures like symmetries and discontinuities and also on the use of mathematical techniques of optimization and approximation.
1 citations
01 Jan 1992
TL;DR: Theories and methodologies for representing and abstracting shape from visual information are a major concern in computational vision and also on the use of mathematical techniques of optimization and approximation.
Abstract: Theories and methodologies for representing and abstracting shape from visual information are a major concern in computational vision. Important contributions have been made on e.g. theories of dynamic shape, on the detection of salient structures like symmetries and discontinuities and also on the use of mathematical techniques of optimization and approximation.
1 citations