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Introduction

The repository is the codes for RST-Invariant Sketch Retrieval Based On Circular Description.

Abstract

The proposed method utilizes saliency map and boundary information to detect salient contours for each image, then uses patch hashing to eliminate the deformations and redundancies of sketches. To achieve rotational invariance, we describe salient contours using circular description. The experiment results on two public datasets demonstrated that the proposed method outperforms the state-of-the-arts in both natural and product images, and handles rotation, scaling and translation transformations.

Citation

@inproceedings{zhao2015rst,
  title={RST-Invariant Sketch Retrieval Based On Circular Description},
  author={Zhao Hanguang and Kong Xiangwei and Fu Haiyan and Zhang Yujia},
  booktitle={Image Processing (ICIP), 2015 IEEE International Conference on},
  year={2015},
  organization={IEEE}
}

Performance

Kendall

Precision

Precision with Rotation

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RST-Invariant Sketch Retrieval Based On Circular Description.

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