‘“Where Is my cup?” - Fully automatic detection and recognition of textureless objects in real-world images

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5 Citations (Scopus)

Abstract

In this work, we propose a new method for fully automatic detection and recognition of textureless objects present in complex visual scenes. While most approaches only deal with shape matching, our approach considers objects both in terms of low-level features and high-level information, and represents objects' view-based templates as trees. Multi-level matching increases algorithm robustness, while the new tree structure of the template reduces its computational burden. We have evaluated our algorithm on the CMU dataset consisting of objects under arbitrary viewpoints and in cluttered environment. Our proposed approach has shown excellent performance, outperforming state-of-the-art methods.
Original languageEnglish
Title of host publicationComputer Analysis of Images and Patterns
Subtitle of host publication16th International Conference, CAIP 2015, Valletta, Malta, September 2-4, 2015 Proceedings, Part I
EditorsGeorge Azzopardi, Nicolai Petkov
PublisherSpringer International Publishing AG
Pages501-512
Number of pages12
ISBN (Electronic)9783319231921
ISBN (Print)9783319231914
DOIs
Publication statusPublished - 2015
Externally publishedYes

Publication series

NameImage Processing, Computer Vision, Pattern Recognition, and Graphics
Volume9256

Keywords

  • Object detection
  • Object recognition
  • Template
  • Tree
  • Active contours
  • Automatic scene understanding
  • Robotics

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