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Searching for authors named "Gabriele Peters" – sorted by Relevance.

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  • Object Recognition with Banana Wavelets  
  • by Norbert Krüger, Gabriele Peters — 1997 — Proc. 5th Europ. Symp. Artificial Neural Networks
  • …. We introduce an object recognition system, based on generalized Gabor wavelets, called banana wavelets. In addition to the qualities frequency and orientation, banana wavelets have the attributes curvature and size. Banana wavelets can be metrically organized, a sparse and efficient representatio…
  • Cited by 10 (2 self) – Add To MetaCart
  • Feature Point Detection in Blurred Images  
  • by R. Klette, Barbara Zitová, R. Kakarala, Jaroslav Kautsky, Gabriele Peters — 1998
  • …: Feature point (FP) detection is an important pre-processing step in image registration, data fusion, object recognition and in many other tasks. This paper deals with multiframe FP detection, i.e. detection in two or more images of the same scene which are supposed to be blurred, noisy, rotated an…
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  • Efficient pose estimation using view-based object representations  
  • by Gabriele Peters, Universität Dortmund, Informatik Vii — 1993 — JEEE Trans. on CAS, part I
  • …Abstract. We present an efficient method for estimating the pose of a three-dimensional object. Its implementation is embedded in a computer vision system which is motivated by and based on cognitive principles concerning the visual perception of three-dimensional objects. Viewpointinvariant object …
  • Cited by 2 (0 self) – Add To MetaCart
  • Principles of Cortical Processing Applied to and Motivated by Artificial Object Recognition  
  • by Norbert Krüger, Michael Pötzsch, Gabriele Peters — 1998 — accepted for “Information Theory and the Brain
  • …In this paper we discuss the biological plausibility of the object recognition system described in detail in (Kruger, Peters and v.d. Malsburg, 1996). We claim that this system realizes the following principles of cortical processing: hierarchical processing, sparse coding, and ordered arrangement o…
  • Cited by 1 (1 self) – Add To MetaCart
  • Feature Point Detection in Multiframe Images  
  • by Barbara Zitova, Jan Flusser, Jaroslav Kautsky, Gabriele Peters — 2000
  • …Feature point (FP) detection is an important preprocessing step in image registration, data fusion, object recognition and in many other tasks. This paper deals with multiframe FP detection, i.e. detection in two or more images of the same scene which are supposed to be blurred, noisy, rotated and s…
  • Cited by 4 (0 self) – Add To MetaCart
  • Robust Detection of Significant Points in Multiframe Images  
  • by Barbara Zitova, Jaroslav Kautsky, Gabriele Peters, Jan Flusser — 1999
  • …Significant point (SP) detection is an important pre-processing step in image registration, data fusion, object recognition and in many other tasks. This paper deals with multiframe SP detection, i.e. detection in two or more images of the same scene which are supposed to be blurred, noisy, rotated …
  • Cited by 7 (3 self) – Add To MetaCart
  • Interpolation of Novel Object Views from Sample Views  
  • by Gabriele Peters, Christoph von der Malsburg — 2001
  • …In this article we address the problem of threedimensional object recognition from two-dimensional views. We use a viewer-centered model of object representation and interpolate novel views from stored sample views. The sample views are represented by graphs which are labeled with Gabor wavelet resp…
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  • View Reconstruction by Linear Combination of Sample Views  
  • by Gabriele Peters, Christoph Von Der Malsburg — 2001 — Third International Conference on 3D Digital Imaging and Modeling (3DIM2001
  • …Ullman and Basri [1] have shown theoretically, that a three-dimensional object can be represented by a linear combination of two-dimensional images of the object. But they have applied their calculations to artificially created images only, like line drawings of cars. The application to images of re…
  • Cited by 1 (1 self) – Add To MetaCart
  • Two Methods for Comparing Different Views of theSameObject  
  • by Gabriele Peters Barbara, Barbara Zitova, Christoph Malsburg — 1999
  • …The viewing hemisphere of a 3-dimensional object can be partitioned into areas of similar views, termed view bubbles. We compare two procedures of generating view bubbles: tracking of object features, i.e., Gabor wavelet responses, by utilizing the continuity of successive views and matching of …
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