Article

International Journal of Computer Vision

, Volume 36, Issue 1, pp 31-50

First online:

Recognition without Correspondence using Multidimensional Receptive Field Histograms

  • Bernt SchieleAffiliated withMIT Media Laboratory
  • , James L. CrowleyAffiliated withGRAVIR, INRIA Rhône–Alpes

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Abstract

The appearance of an object is composed of local structure. This local structure can be described and characterized by a vector of local features measured by local operators such as Gaussian derivatives or Gabor filters. This article presents a technique where appearances of objects are represented by the joint statistics of such local neighborhood operators. As such, this represents a new class of appearance based techniques for computer vision. Based on joint statistics, the paper develops techniques for the identification of multiple objects at arbitrary positions and orientations in a cluttered scene. Experiments show that these techniques can identify over 100 objects in the presence of major occlusions. Most remarkably, the techniques have low complexity and therefore run in real-time.

object recognition appearance based recognition statistical object representation local appearance real-time computer vision