Skip to main content
SpringerLink
Log in

A step towards development of aid for visually challenged

  • Published:
Sādhanā Aims and scope Submit manuscript

Abstract

The work done towards developing a visual aid to help visually challenged people is described in this paper. An ultrasonic device is used for measuring the distance to a nearby object and SIFT algorithm based approach is used for object recognition from the captured image. Features of the recognized object as well as the distance to the object are converted to voice output which is available to the visually challenged person for navigation. The system developed and results obtained are described and suggestions are given for further work to be done to develop a better and more compact visual aid.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Figure 1
Figure 2
Figure 3
Figure 4
Figure 5
Figure 6
Figure 7
Figure 8
Figure 9

Similar content being viewed by others

References

  1. Lowe David G 2004 Distinctive image features from scale-invariant keypoints. Int. J. Comput. Vis. 60(2): 91–110

    Article  Google Scholar 

  2. Szeliski R and Kang S B 1994 Recovering 3D shape and motion from image streams using nonlinear least squares. J. Vis. Commun. Image Represent. 5(1): 1028

    Article  Google Scholar 

  3. Lowe D G 1991 Fitting parameterized three-dimensional models to images. IEEE Trans. Pattern Anal. Mach. Intell. 13(5): 441–450

  4. Lowe D G 1999 Object recognition from local scale-invariant features. In: International Conference on Computer Vision, Corfu, Greece, pp. 1150–1157

  5. Lowe D G 2001 Local feature view clustering for 3D object recognition. IEEE Conference on Computer Vision and Pattern Recognition, Kauai, Hawaii, pp. 682–688

  6. Mikolajczyk Krystian and Schmid Cordelia 2001 Indexing based on scale invariant interest points. In: International Conference on Computer Vision, Vancouver, Canada, pp. 525–531

  7. Lowe David G 1987 Three-dimensional object recognition from single two-dimensional images. Artif. Intell. 31(3): 355–395

  8. Johannes Bauer, Niko Sunderhauf and Peter Protzel, Comparing several implementations of two recently published feature detectors. In: Proceedings of the International Conference on Intelligent and Autonomous Systems, IAV, Toulouse, France, p 122

  9. Luo Juan and Oubong Gwun, A comparison of SIFT, PCA-SIFT and SURF. Int. J. Image Process. 3(4): 143–152

Download references

Acknowledgements

This research was supported by the International Institute of Information Technology Bangalore, under the Summer Internship programme 2011. I wish to thank Prof P G Poonacha for his guidance during the internship.

Author information

Authors and Affiliations

  1. Department of Electronics and Communication Engineering, National Institute of Technology Karnataka, Surathkal, 575025, India

    Phalguni

Authors
  1. Phalguni
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Phalguni.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Phalguni A step towards development of aid for visually challenged. Sādhanā 42, 187–192 (2017). https://doi.org/10.1007/s12046-017-0591-2

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12046-017-0591-2

Keywords

Search

Navigation