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- Tony Lindeberg
- International Journal of Computer Vision
- 1998

The fact that objects in the world appear in different ways depending on the scale of observation has important implications if one aims at describing them. It shows that the notion of scale is of utmost importance when processing unknown measurement data by automatic methods. In their seminal works, Witkin (1983) and Koenderink (1984) proposed to approach… (More)

- Ivan Laptev, Tony Lindeberg
- ICCV
- 2003

Local image features or interest points provide compact and abstract representations of patterns in an image. In this paper, we propose to extend the notion of spatial interest points into the spatio-temporal domain and show how the resulting features often reflect interesting events that can be used for a compact representation of video data as well as for… (More)

- Tony Lindeberg
- International Journal of Computer Vision
- 1996

When computing descriptors of image data, the type of information that can be extracted may be strongly dependent on the scales at which the image operators are applied. This article presents a systematic methodology for addressing this problem. A mechanism is presented for automatic selection of scale levels when detecting one-dimensional image features,… (More)

- Tony Lindeberg
- 1994

An inherent property of objects in the world is that they only exist as meaningful entities over certain ranges of scale. If one aims at describing the structure of unknown real-world signals, then a multi-scale representation of data is of crucial importance. This chapter gives a tutorial review of a special type of multi-scale representation , linear… (More)

- Tony Lindeberg
- IEEE Trans. Pattern Anal. Mach. Intell.
- 1990

We address the formulation of a scale-space theory for discrete signals. In one dimension it is possible to characterize the smoothing transformations completely and a n exhaustive treatment is given, answering the following two main questions: 1) Which linear transformations remove structure in the sense that the number of local extrema (or zero-crossings)… (More)

- Tony Lindeberg
- International Journal of Computer Vision
- 1993

This article presents: (i) a multiscale representation of grey-level shape called the scale-space primal sketch, which makes explicit both features in scale-space and the relations between structures at different scales, (ii) a methodology for extracting significant blob-like image structures from this representation, and (iii) applications to edge… (More)

- Ivan Laptev, Barbara Caputo, Christian Schüldt, Tony Lindeberg
- Computer Vision and Image Understanding
- 2007

In this paper, we address the problem of motion recognition using event-based local motion representations. We assume that similar patterns of motion contain similar events with consistent motion across image sequences. Using this assumption, we formulate the problem of motion recognition as a matching of corresponding events in image sequences. To enable… (More)

- Ivan Laptev, Tony Lindeberg
- SCVMA
- 2004

This paper presents and investigates a set of local spacetime descriptors for representing and recognizing motion patterns in video. Following the idea of local features in the spatial domain, we use the notion of space-time interest points and represent video data in terms of local space-time events. To describe such events, we define several types of… (More)

- Oskar Linde, Tony Lindeberg
- ICPR
- 2004

Recent work has shown that effective methods for recognising objects or spatio-temporal events can be constructed based on receptive field responses summarised into histograms or other histogram-like image descriptors. This paper presents a set of composed histogram features of higher dimensionality, which give significantly better recognition performance… (More)

- Tony Lindeberg, Jonas Gårding
- Image Vision Comput.
- 1997

This article describes a method for reducing the shape distortions due to scale-space smoothing that arise in the computation of 3-D shape cues using operators (derivatives) defined from scale-space representation. More precisely, we are concerned with a general class of methods for deriving 3-D shape cues from a 2-D image data based on the estimation of… (More)