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Drawing an automatic sketch of deformable objects using only a few images

  • Indian Institute of Technology Madras

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

9 Scopus citations

Abstract

We propose a method to automatically extract a sketch of a common object structure present in a small set of real world weakly-labeled images. Applying a part-based deformable contour matching technique gives the location of repeatable contours. An initial deformable search strategy selects a set of salient, repeatable contours robust to a large range of non-rigid deformations. A contour completion technique based on a locally greedy bi-directional search strategy is adopted to merge the repeatable contour fragments for obtaining a complete shape. The output of our algorithm is used as an input to a sketch-based object-recognizer with results that are either better, or on par with those obtained with the ground truth sketches provided with the dataset.

Original languageEnglish
Title of host publicationComputer Vision, ECCV 2012 - Workshops and Demonstrations, Proceedings
PublisherSpringer Verlag
Pages63-72
Number of pages10
EditionPART 1
ISBN (Print)9783642338625
DOIs
StatePublished - 2012
EventComputer Vision, ECCV 2012 - Workshops and Demonstrations, Proceedings - Florence, Italy
Duration: Oct 7 2012 → Oct 13 2012

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 1
Volume7583 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

ConferenceComputer Vision, ECCV 2012 - Workshops and Demonstrations, Proceedings
Country/TerritoryItaly
CityFlorence
Period10/7/12 → 10/13/12

Keywords

  • Contour Completion
  • Part-based Deformable Contour Matching
  • Salient Contours

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