Advertisement

Microsystem Technologies

, Volume 25, Issue 12, pp 4625–4635 | Cite as

Valuation of facial image likeness under different posture

  • Priyanka SrivastavaEmail author
  • K. S. Patnaik
Technical Paper
  • 42 Downloads

Abstract

Image similarity search is crucial in various applications. Determining similarities among objects of images is a key point of perceptual image resemblance. Identification of varied pose of human face is the biggest issue under image resemblance. Mostly the previous research uses different distance metric algorithms to measure the image resemblance where the distance between two objects of images is used to determine the degree of resemblance. This paper presented a streamlined algorithm termed as Description Proximity Cover for computing the perceptual image resemblance based on neighborhoods. Comparative analysis of DPC has done with other existing metric based algorithms using large dataset of images. Further the resemblance of facial expression of images has also carried out using DPC. It has been found from the experimental results that retrieval performance may be significantly improved using Description Proximity Cover.

Notes

Acknowledgements

This research is relatively supported by the database of human faces provided in Database (2002), Japanese Female Facial Expression (JAFFE) Database (1998).

References

  1. Celebi ME, Aslandogan YA (2005) Human perception-driven, similarity-based access to image databases. In: FLAIRS conference, pp 245–250Google Scholar
  2. Chiranjeevi P, Gopalakrishnan V, Moogi P (2015) Neutral face classification using personalized appearance models for fast and robust emotion detection. IEEE Trans Image Process 24(9):2701–2711MathSciNetCrossRefGoogle Scholar
  3. Fei L et al (2016) Double-orientation code and nonlinear matching scheme for palmprint recognition”. Pattern Recognit 49:89–101CrossRefGoogle Scholar
  4. Huttenlocher DP, Klanderman G, Rucklidge WJ (1993) Comparing images using the Hausdorff distance. IEEE Trans Pattern Anal Mach Intell 15(9):850–863CrossRefGoogle Scholar
  5. Kamachi M, Lyons M, Gyoba J (1998) The japanese female facial expression (jaffe) database. http://www.kasrl.org/jaffe
  6. Landre J, Truchetet F (2007) Image retrieval with binary hamming distance. VISAPP (2) 7:237–240Google Scholar
  7. Norouzi M, Fleet DJ, Salakhutdinov RR (2012) Hamming distance metric learning. In: Advances in neural information processing systems, pp 1061–1069Google Scholar
  8. Nutanong S, Jacox EH, Samet H (2011) An incremental Hausdorff distance calculation algorithm. InL Proceedings of the VLDB endowment 4(8):506–517CrossRefGoogle Scholar
  9. Patnaik KS, Sanober A (2012) Plastic surgery facial image correspondence: a near set approach. Int J Comput Appl 42(1):16–22Google Scholar
  10. Rogowitz BE et al (1998) Perceptual image similarity experiments. Human vision and electronic imaging. In: Proceedings of the SPIE, vol 3299Google Scholar
  11. Sajwan M, Patnaik KS (2017) Quantifiable image nearness approach using descriptive neighbourhood. In: Proceedings of the international conference on signal, networks, computing, and systems, pp 73–84Google Scholar
  12. Tang M, Yu Y, Aref WG, Malluhi QM, Ouzzani M (2015) Efficient processing of hamming-distance-based similarity-search queries over MapReduce. In: EDBT, pp 361–372Google Scholar
  13. Veltkamp RC (2001) Shape matching: similarity measures and algorithms. In: Shape modeling and applications. SMI international conference, IEEE, pp 188–197Google Scholar
  14. Wang HH, Mohamad D, Ismail NA (2010) Approaches, challenges and future direction of image retrieval, vol 2. arXiv preprint arXiv:1006.4568
  15. Zhang X, et al (2013) Hmsearch: an efficient hamming distance query processing algorithm. In: Proceedings of the 25th international conference on scientific and statistical database management, ACMGoogle Scholar
  16. Zhang D et al (2018) Efficient and accurate Hausdorff distance computation based on diffusion search”. IEEE Access 6:1350–1361CrossRefGoogle Scholar

Copyright information

© Springer-Verlag GmbH Germany, part of Springer Nature 2019

Authors and Affiliations

  1. 1.Department of Computer Science and EngineeringBirla Institute of Technology MesraRanchiIndia

Personalised recommendations