Light Field Distortion Feature for Transparent Object Recognition

@article{Maeno2013LightFD,
  title={Light Field Distortion Feature for Transparent Object Recognition},
  author={Kazuki Maeno and Hajime Nagahara and Atsushi Shimada and Rin-ichiro Taniguchi},
  journal={2013 IEEE Conference on Computer Vision and Pattern Recognition},
  year={2013},
  pages={2786-2793}
}
Current object-recognition algorithms use local features, such as scale-invariant feature transform (SIFT) and speeded-up robust features (SURF), for visually learning to recognize objects. These approaches though cannot apply to transparent objects made of glass or plastic, as such objects take on the visual features of background objects, and the appearance of such objects dramatically varies with changes in scene background. Indeed, in transmitting light, transparent objects have the unique… CONTINUE READING

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