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Introduction

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Indoor Scene Recognition by 3-D Object Search

Part of the book series: Springer Tracts in Advanced Robotics ((STAR,volume 135))

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Abstract

Introduction of our concepts of Passive Scene Recognition and Active Scene Recognition as well as of our research statements and contributions.

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Notes

  1. 1.

    “X” stands for any configuration in 2 in Fig. 1.1, from “Pause” to “Do not like”.

  2. 2.

    Even though the inventors of the Implicit Shape Models present a probabilistic motivation for their approach in [30], we do not regard it as a probabilistic approach in a strict sense.

  3. 3.

    In the following, we use the term scene (category) model to designate the entire hierarchical model, including all subscenes.

  4. 4.

    In the latter case, object poses are not defined relative to each other but all in relation to a coordinate frame fixed in the environment.

  5. 5.

    The distinction between informed and uninformed search originates from discussions [37, p. 64] about general-purpose search algorithms.

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Authors and Affiliations

  1. IAR-IPR, Karlsruhe Institute of Technology, Karlsruhe, Germany

    Pascal Meißner

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  1. Pascal Meißner
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Correspondence to Pascal Meißner .

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Meißner, P. (2020). Introduction. In: Indoor Scene Recognition by 3-D Object Search. Springer Tracts in Advanced Robotics, vol 135. Springer, Cham. https://doi.org/10.1007/978-3-030-31852-9_1

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