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Scale-space behaviour of local extrema and blobs

Journal of Mathematical Imaging and vision 1992年第1期1卷 65-65页

作者： Lindeberg, Tony Computational Vision and Active Perception Laboratory (CVAP) Department of Numerical Analysis and Computing Science Royal Institute of Technology Stockholm Sweden

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 com... 详细信息

关键词： bifurcation blob blob event classification computer vision critical point digital signal processing drift velocity extremum region multi-scale representation scale-space singularity

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Shape from texture for smooth curved surfaces in perspective projection

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Journal of Mathematical Imaging and vision 1992年第4期2卷 327-350页

作者： Gårding, Jonas Computational Vision and Active Perception Laboratory (CVAP) Department of Numerical Analysis and Computing Science Royal Institute of Technology Stockholm S-100 44 Sweden

Projective distortion of surface texture observed in a perspective image can provide direct information about the shape of the underlying surface. Previous theories have generally concerned planar surfaces;this paper presents a systematic analysis of first- and second-order texture distortion cues for the case of a smooth, curved surface. In particular, several kinds of texture gradients are analyzed and are related to surface orientation and surface curvature. The local estimates obtained from these cues can be integrated to obtain a global surface shape, and it is shown that the two surfaces resulting from the well-known tilt ambiguity in the local foreshortening cue typically have qualitatively different shapes. As an example of a practical application of the analysis, a shape-from-texture algorithm based on local orientation-selective filtering is described, and some experimental results are shown. © 1992 Kluwer Academic Publishers.

关键词： curved surfaces monocular cues perspective projection shape from texture texture gradients

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SHAPE FROM TEXTURE FOR SMOOTH CURVED SURFACES 2nd

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2ND EUROPEAN CONF ON computer vision ( ECCV 92 )

作者： GARDING, J Computational Vision and Active Perception Laboratory (CVAP) Department of Numerical Analysis and Computing Science Royal Institute of Technology Stockholm S-100 44 Sweden

ISBN: (纸本)3540554262

Projective distortion of surface texture observed in a perspective image can provide direct information about the shape of the underlying surface. Previous theories have generally concerned planar surfaces;in this paper we present a systematic analysis of first- and second-order texture distortion cues for the case of a smooth curved surface. In particular, we analyze several kinds of texture gradients and relate them to surface orientation and surface curvature. The local estimates obtained from these cues can be integrated to obtain a global surface shape, and we show that the two surfaces resulting from the well-known tilt ambiguity in the local foreshortening cue typically have qualitatively different shapes. As an example of a practical application of the analysis, a shape from texture algorithm based on local orientation-selective filtering is described, and some experimental results are shown. © Springer-Verlag Berlin Heidelberg 1992.

关键词： computer vision

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ON SCALE AND RESOLUTION IN active analysis OF LOCAL IMAGE STRUCTURE

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IMAGE AND vision computing 1990年第4期8卷 289-296页

作者： BRUNNSTROM, K EKLUNDH, JO LINDEBERG, T Computational Vision and Active Perception Laboratory Department of Numerical Analysis and Computing Science Royal Institute of Technology S-100 44 Stockholm Sweden

Focus-of-attention is extremely important in human visual perception. If computer vision systems are to perform tasks in a complex, dynamic world they will have to be able to control processing in a way that is analogous to visual attention in humans. Problems connected to foveation (examination of selected regions of the world at high resolution) are examined. In particular, the problem of finding and classifying junctions from this aspect is considered. It is shown that foveation as simulated by controlled, active zooming in conjunction with scale-space techniques allows for robust detection and classification of junctions.

关键词： FOVEATION SCALE RESOLUTION JUNCTION CLASSIFICATION SCALE-SPACE TECHNIQUES FOCUS-OF-ATTENTION active vision HISTOGRAM analysis

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