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Circle & identify: interactivity-augmented object recognition for handheld devices

Published: 23 October 2005 Publication History

Abstract

The first requirement of a "spatial mouse" is the ability to identify the object that it is aiming at. Among many possible technologies that can be employed for this purpose, possibly the best solution would be object recognition by machine vision. The problem, however, is that object recognition algorithms are not yet reliable enough or light enough for hand-held devices. This paper demonstrates that a simple object recognition algorithm can become a practical solution when augmented by interactivity. The user draw a circle around a target using a spatial mouse, and the mouse captures a series of camera frames. The frames can be easily stitched together to give a target image separated from the background, with which we need only additional steps of feature extraction and object classification. We present here results from two experiments with a few household objects.

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Published In

cover image ACM Conferences
UIST '05: Proceedings of the 18th annual ACM symposium on User interface software and technology
October 2005
270 pages
ISBN:1595932712
DOI:10.1145/1095034
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 23 October 2005

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Author Tags

  1. interactivity-augmented object recognition
  2. smart environment
  3. spatial mouse

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UIST05

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UIST '05 Paper Acceptance Rate 31 of 159 submissions, 19%;
Overall Acceptance Rate 561 of 2,567 submissions, 22%

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UIST '25
The 38th Annual ACM Symposium on User Interface Software and Technology
September 28 - October 1, 2025
Busan , Republic of Korea

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