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Vision-Based Object Registration for Real-Time Image Overlay

  • Michihiro Uenohara
  • Takeo Kanade
Part of the Lecture Notes in Computer Science book series (LNCS, volume 905)

Abstract

This paper presents computer vision based techniques for object registration, real-time tracking, and image overlay. The capability can be used to superimpose registered images such as those from CT or MRI onto a video image of a patient’s body. Real-time object registration enables an image to be overlaid consistently onto objects even while the object or the viewer is moving. The video image of a patient’s body is used as input for object registration. Reliable real-time object registration at frame rate (30 Hz) is realized by a combination of techniques, including template matching based feature detection, feature correspondence by geometric constraints, and pose calculation of objects from feature positions in the image. Two types of image overlay systems are presented. The first one registers objects in the image and projects preoperative model data onto a raw camera image. The other computes the position of image overlay directly from 2D feature positions without any prior models. With the techniques developed in this paper, interactive video, which transmits images of a patient to the expert and sends them back with some image overlay, can be realized.

Keywords

Feature Point Reference Image Visual Tracking Interactive Video Cross Ratio 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 1995

Authors and Affiliations

  • Michihiro Uenohara
    • 1
  • Takeo Kanade
    • 2
  1. 1.Toshiba R&D CenterKawasakiJapan
  2. 2.The Robotics InstituteCarnegie Mellon UniversityPittsburghUSA

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