Reserach

Publications

Papers Published in Research Journals

  1. Performance of joint transform correlator-based optical neural network for face recognition. Dinesh Ganotra, Joby Joseph, and Kehar Singh, Opt. Memory & Neural Networks, 10, 81–90 (2001).
  2. Neural network based face recognition by using diffraction pattern sampling with a digital ring-wedge detector. Dinesh Ganotra, Joby Joseph, and Kehar Singh. Opt. Commun., 202, 61–68 (2002).
  3. Profilometry for the measurement of three-dimensional object shape using radial basis function, and multi-layer perceptron neural networks. Dinesh Ganotra, Joby Joseph, and Kehar Singh. Opt. Commun., 209, 291–301 (2002).
  4. Determination of optimal detector geometry for sampling of Fourier transform of fingerprints for classification using neural networks. Dinesh Ganotra, Joby Joseph and Kehar Singh, Asian J. Phys, 11, 181– 186 (2002).
  5. Estimation of optimum dimensions of a digital ring-wedge detector for sampling Fourier transforms. Dinesh Ganotra, Joby Joseph and Kehar Singh, Asian J. Phys, 10, 245–250 (2002).
  6. Neural networks for pattern recognition and 3–D object shape measurement; A review of work carried out at the photonics group IIT Delhi. Dinesh Ganotra, Joby Joseph and Kehar Singh, Asian J. Phys., 12, 153–178 (2003).
  7. Second- and first-order phase-locked loops in fringe profilometry and application of neural networks for phase-to-depth calibration. Dinesh Ganotra, Joby Joseph, and Kehar Singh. Opt. Commun. 217, 85–96 (2003).
  8. Three dimensional shape measurement using fringe profilometry. Dinesh Ganotra, Joby Joseph, and Kehar Singh, Perspective in Engineering optics, Kehar Singh and V.K.Rastogi, (Eds) Anita publications, (2003)
  9. Modified geometry of ring-wedge detector for sampling Fourier transform of fingerprints for classification using neural networks. Dinesh Ganotra, Joby Joseph, and Kehar Singh , Opt. Lasers Eng., 42,167– 177 (2004)
  10. Object reconstruction in multilayer neural network based profilometry using grating structure comprising two regions with different spatial periods. Dinesh Ganotra, Joby Joseph, and Kehar Singh Opt. Lasers Eng., 42, 179–192 (2004)
  11. Face recognition using feature-specific imaging, Himadri S. Pal, DineshGanotra, and Mark A. Neifeld, Appl. Opt., 44,3784-3794 (2005)
  12. Wavefront Fitting and Comparison of Camera Aberrations using Zernike Circle Polynomials, Sonam Singh and Dinesh Ganotra, Optik - International Journal for Light and Electron Optics., 124, 2379-2386 (2013)
  13. Phase estimation for Zernike circle polynomials using Phase Locked Loops for investigations of camera aberrations, Sonam Singh, Dinesh Ganotra, Opt. Lasers Eng., 51,261-269 (2013)
  14. Analysis of Human Lip Features: A Review”, International journal of applied systemic studies, N. Rathee, D.Ganotra, Int. J. Appl Systemic Studies, 6, 137-184 (2015)
  15. A novel approach for pain intensity detection based on facial feature deformations N. Rathee, D.Ganotra, Journal of Visual Communication and Image Representation, 33 247-254, (2015)
  16. Multiview Distance Metric Learning on facial feature descriptors for automatic pain intensity detection, N. Rathee and D.Ganotra, Computer Vision and Image Understanding , 147, 77–86 (2016)
  17. Modelling Facial Features for Emotion Recognition and Synthesis , Neeru Rathee and Dinesh Ganotra, IETE Journal of Research, 63,845-852 (2017)
  18. Discriminative Analysis of Lip Features for Emotion Recognition”, Neeru Rathee, Dinesh Ganotra, International Journal of Computational Vision and Robotics, 669 – 691(2017)
  19. An efficient approach for facial action unit intensity detection using distance metric learning based on cosine similarity. N. Rathee, D. Ganotra, Signal image and video processing ,12 1141-1148 (2018)
  20. Facial Action Unit Intensity Detection by Extracting Complimentary Information using Distance Metric Learning, Neeru Rathee,Dinesh Ganotra and Ajay Rathee ,IETE Journal of Research Volume 66, 2020 - Issue 2 (2018)
  21. An overview of optical flow-based approaches for motion segmentation, The Imaging Science Journal, Shivangi Anthwal, Dinesh Ganotra, 67, 284-294 (2019)
  22. Qualitative and quantitative assessment of emotions from image sequences using optical flow magnitude Shivangi Anthwal and Dinesh Ganotra, Asian Journal of Physics Vol. 28, Nos 10-12 (2019) 813-824
  23. Suppression of parasitic lasing and inter pulse self-pulsing in a pulsed Erbium-Yetterbium co-doped Fibre amplifier, Applied Physics B, Lalita Aggarwal and Dinesh Ganotra, Applied Physics B,126, 2020, doi.org/10.1007/s00340-019-7368-8.
  24. Estimation and management of performance limiting factors in the development of 1 kW peak power pulsed fiber MOPA at 1550 nm, Lalita Agrawal, Atul Bhardwaja, Dinesh Ganotra and Hari Babu Srivastava, (Accepted), Defence Science Journal (2020)
  25. Dynamic Features Based on Flow-Correlation and HOG for Recognition of Discrete Facial Expressions, Shivangi Anthwal, Dinesh Ganotra, Revue d'Intelligence Artificielle , Vol. 34, No. 5, October, 2020, pp. 585-594
  26. Modeling and Analysis of Facial Expressions Using Optical Flow-Derived Divergence and Curl Templates, Shivangi Anthwal and Dinesh Ganotra, Electronic Letters on Computer Vision and Image Analysis 20(2):1-21, 2021
  27. Modeling and Analysis of Discrete Facial Expressions with Dense Optical Flow-derived Features, Shivangi Anthwal and Dinesh Ganotra, World Scientific Annual Review of Artificial Intelligence Vol. 1 (2023) 2250003
  28. An approach for anti-forensic contrast enhancement detection using grey level co-occurrence matrix and Zernike moments Neha Goel and Dinesh Ganotra, International Journal of Information Technology volume 15, pages1625–1636 (2023)
  29. Reflection Removal with Varied Field of View Images, Rashmi Chaurasiya and Dinesh Ganotra,International Journal of Image and Graphics Vol. 24, No. 2 (2024) 2450018 (2023)

Papers Published in National and International Conferences and book chapters derived from them.

  1. Modified geometry of ring-wedge detector for sampling Fourier transform of fingerprints for classification using neural networks. Dinesh Ganotra, Joby Joseph, and Kehar Singh, Proc. ICO 19 Conf., Florence, Italy, 25–31 August, (2002) Proc. SPIE, 4829 (2002) 423–424, Eds. A. Consortini and G. C. Righini
  2. Neural networks applied to measurement of three-dimensional object shapes using phases recovered from Fourier transform profilometry and phase locked loops. Dinesh Ganotra, Joby Joseph, and Kehar Singh, Proc. ICO 19 Conf., Florence, Italy, 25–31 August, (2002) Proc. SPIE, 4829 (2002) 851–852, Eds A. Consortini and G. C. Righini
  3. Profilometry for the measurement of three-dimensional object shape using radial basis function, and multi-layer perceptron neural networks. Dinesh Ganotra, Joby Joseph, and Kehar Singh, Nat’l Symp. on ’Frontiers in condensed matter physics’, NSFCMP’02, March 22–23, 2002, Guru Jambeshwar University, Hisar, Haryana (India)
  4. Neural networks for the measurement of 3-D object shapes using phases recovered from Fourier transform profilometry and phase-locked loop. Dinesh Ganotra, Joby Joseph, and Kehar Singh, as in ref. 3 above
  5. Estimation of depth from anaglyphic images using neural networks, Dinesh Ganotra, Joby Joseph, and Kehar Singh. XXVII Opt. Soc. India Confer. on ’Optics and photonics in engineering,’ NetajiSubhash Inst. Technol., COPE-3, Jan 6–8 (2003) Delhi (India)
  6. Object reconstruction in multi-layer neural network based profilometry using grating structure comprising two regions with different spatial periods Dinesh Ganotra, Joby Joseph, and Kehar Singh, Proc., of Nat’l confer. on ’Sensor technology., Sept 26–27,Center for Envir. and explosive safety, Eds. A.K. Kapoor, J. C. Kapoor, and D. B. Singh, (Allied Publishers, 2002) 90–94.
  7. Second- and first -order phase-locked loops in fringe profilometry and application of neural networks for phase-to-depth conversion. Dinesh Ganotra, Joby Joseph, and Kehar Singh, as in ref. 6 above, pp 455–461
  8. Neural networks for pattern recognition and 3-D object shape measurement; A review of work at photonics group IIT Delhi Dinesh Ganotra,Joby Joseph, and Kehar Singh, Nat’l Conf. on ’Lasers & spectroscopy,’Feb, 25–28 (2003) Meerut (India)
  9. Second order phase-locked loops in fringe profilometry. Dinesh Ganotra, Joby Joseph, and Kehar Singh, Nat’l Conf. on ’Lasers & spectroscopy,’ Feb, 25–28, (2003) Meerut (India)
  10. Design constraints in practical implementation of joint transform correlator for face recognition, Dinesh Ganotra, Joby Joseph and Kehar Singh, Int’l confer.on Optics and Optoelectronics (XXXI Symposium of Optical Society of India) Instruments Research and Development Establishment Dehradun, Uttaranchal (India) Dec 12-15 (2005)
  11. Improved adaptive binarization technique for document image analysis, Lal Chandra, Puja Lal, Raju Gupta, ArunTayal, and Dinesh Ganotra VISAPP 2007, International conference on Computer Vision, Spain, Barcelona
  12. A fast and efficient method for check image quality assessment, Raju Gupta, Tavneet Batra, Pramod Kumar and Dinesh Ganotra, VISAPP 2007, International conference on Computer Vision, Spain, Barcelona
  13. Modifications in Normalized Cross Correlation expression for template matching applications, Sonam Singh and Dinesh Ganotra, International Conference on Image Processing, Computer Vision and Patter recognition IPCV 2011:USA
  14. Transient thermal analysis of Ytterbium and Erbium – Ytterbium co- dopped double clad LMA fibers, Lalita Agrawal, Atul Bhardwaj, Dinesh Ganotra, National Laser Symposium (NLS-26), BARC, Mumbai, Dec 2017
  15. Optical flow estimation in synthetic image sequences using Farneback algorithm”, Shivangi Anthwal, Dinesh Ganotra, International Conference on Signal Processing and communication, March 21-23, Jaypee Institute of Information Technology, Noida UP (2018) The above paper was further published as Anthwal S., Ganotra D. (2019) Optical Flow Estimation in Synthetic Image Sequences Using Farneback Algorithm. In: Rawat B., Trivedi A., Manhas S., Karwal V. (eds) Advances in Signal Processing and Communication. Lecture Notes in Electrical Engineering, vol 526. Springer, Singapore, pages 363-371
  16. A Novel Zernike Moment Based Approach for Optical Flow estimation" S. Anthwal, D. Ganotra, at International Conference on Communication and Computing Systems, held at Dronacharya College of Engineering. 1-2 Dec, 2018
  17. Comparative study of Erbium-Ytterbium co-doped pulsed fiber laser amplifier under 976 nm and 906 nm pumping, Lalita Aggarwal and Dinesh Ganotra, details ‘PHOTONICS 2018, The International Conference on Fiber Optics and Photonics’, 12-15 December, 2018 at Indian Institute of Technology, Delhi.
  18. A Variational Framework for Optical Flow Estimation, Shivangi Anthwal, Dinesh Ganotra, details ‘PHOTONICS 2018, The International Conference on Fiber Optics and Photonics’, 12-15 December, 2018 at Indian Institute of Technology, Delhi.
  19. A Moment Based Technique for the Computation of Optical Flow, Shivangi Anthwal and Dinesh Ganotra, International Conference on Signal Processing, VLSI and Communication Engineering, 28th-30th March, 2019, Delhi Technological University, Delhi.
  20. Single Image Reflection Removal With Deep Residual Block Network On Benchmark Rose Dataset, Rashmi Chaurasiya and Dinesh Ganotra, International Conference on Signal Processing, VLSI and Communication Engineering, 28th-30th March, 2019, Delhi Technological University, Delhi.
  21. An Optical flow based approach for facial expression recognition, Shivangi Anthwal and Dinesh Ganotra, IEEE, International Conference on Power Electronics, Control and Automation, Jamia Millia Islamia, (2019)
  22. An overview of learning approaches in reflection removal, Rashmi Chaurasiya and Dinesh Ganotra, International conference on Computational Methods and Data Engineering (ICMDE 2020) Accepted, 28th-30th Jan, 2020, SRM University, Sonipat.
  23. Two-Image based approach of Reflection Removal with Deep Learning" Rashmi Chaurasiya and Dinesh Ganotra, 5th IAPR International Conference On Computer Vision & Image Processing , IIIT Allahabad (CVIP 2020).
  24. Emotional Intelligence For Futuristic Machines: Techniques, Applications, And Challenges, Shivangi Anthwal and Dinesh Ganotra, Emotion Recognition: Patterns, Applications and Challenges, Nova Science Publishers (2021)
  25. Single Image Reflection Removal with Segmentation, Rashmi Chaurasiya and Dinesh Ganotra, Rashmi Chaurasiya and Dinesh Ganotra ICTACT Journal On Image and Video Processing, May 2022, Volume: 12, Issue: 04