Research

Welcome to visit my research page. Alongside research, visit this page for more about me (shahinur).

Topic: Human-Computer Interaction, 3D computer vision, Gesture recognition

  • Implement a gesture-based writing system.
  • 3D depth camera-based recognition finger recognition system.
  • Total 124 characters included.
  • User study has been conducted.

Tools and Technology: Intel Realsense sr300 camera, C#, C

Topic: Human-Computer Interaction, 3D computer vision, Gesture recognition, Deep Learning, Recurrent neural network

  • Improved method than previous one.
  • 3D depth camera-based finger tracking method.
  • Continuous writing system.
  • Deep learning-based approach.
  • Published RTD dataset.
  • LSTM network implemented.
  • CNN network implemented.
  • Compared the performance with the state-of-the-art dataset (6DMG).

Tools and Technology: CNN, LSTM, Intel Realsense sr300 camera, C#, Matplotlib, Python

Topic: Image Processing, Computer vision, Deep Learning, Generative network, Image super-resolution, Elemental Image

  • Resolution enhancement method for IIM system.
  • Deep learning-based approach
  • GAN network is implemented.
  • Resolution can be enhanced 2, 4, and 8 times.
  • Compared with the state-of-the-art algorithms.

Tools and Technology: CNN, GAN, Integral imaging microscope, Python

Topic: Image Processing, Computer vision, Deep Learning, Residual dense network, Image super-resolution

  • Guided filter-based resolution enhancement.
  • Residual dense network is introduced to extract hierarchical features.
  • Focused on luminance channel.

Tools and Technology: CNN, Residual net, Guided filter, Matlab

SCI(E) Journal Paper

  1. M. S. Alam, K. -C. Kwon and N. Kim, “Implementation of a Character Recognition System Based on Finger-Joint Tracking Using a Depth Camera,” in IEEE Transactions on Human-Machine Systems, vol. 51, no. 3, pp. 229-241, June 2021, doi: 10.1109/THMS.2021.3066854. (IF: 3.374)
  2. M. S. Alam, K. -C. Kwon, M. -U. Erdenebat, M. Y. Abbass; M. A. Alam, and N. Kim, “Super-Resolution Enhancement Method Based on Generative Adversarial Network for Integral Imaging Microscopy” in Sensors 2021, 21, 2164. https://doi.org/10.3390/s21062164. (IF: 3.275)
  3. M. Y. Abbass, K. -C. Kwon., M. S. Alam et al. “Image super resolution based on residual dense CNN and guided filters,” in Multimed Tools Appl 80, 5403–5421 (2021). https://doi.org/10.1007/s11042-020-09824-3 (IF: 2.757)
  4. M.S. Alam, K.-C. Kwon; M.A. Alam, M.Y. Abbass, S.M. Imtiaz, N. Kim, “Trajectory-Based Air-Writing Recognition Using Deep Neural Network and Depth Sensor,” in Sensors 2020, 20, 376. https://doi.org/10.3390/s20020376 (IF: 3.275)
  5. Y. Zhao, M. -U. Erdenebat, M. S. Alam, M. -L. Piao, S. -H. Jeon, and N. Kim, “Multiple-camera holographic system featuring efficient depth grids for representation of real 3D objects,” Appl. Opt. 58, A242-A250 (2019) (IF: 1.961)

Peer-reviewed Conference Paper

  1. M. S. Alam, J. H. Kim, J. K. jung, Y. -T. Lim, M. B. Hossain, K. -Y. Lee, Y. -J. Yoo, and N. Kim, ” Touchless User Interactive High-Resolution Light Field Display System Using a Three-Dimensional Tracking Camera,” in the 21st International Meeting on Information Display, August 2021.
  2. S. Rupali, M. S. Alam, M. Choi, and N. Kim, ” Economical and Wearable Pulse Oximeter using IoT,” in the 16th International Conference on Computer Science & Education (ICCSE), August 2021.
  3. M. S. Alam, K. -C. Kwon, S. M. Imtiaz, M. B. Hossain, S. Rupali, J. H. Kim, and N. Kim, “Air-writing recognition using a fusion CNN-LSTM network,” in the 8th International Conference on Electronics, Electrical Engieering, Computer Scicence : Innovationa and Convergence (8th EEECS 2021), July 2021.
  4. M. S. Alam, M. -U. Erdenebat, J. K. Jung, J. H. Kim, M. B. Hossain, S. -K. Gil, and N. Kim, ” Three-dimensional head tracking based interactive light field display system using a movable camera array,” in the 28th Conference on Optoelectronics and Optical Communications (COOC 2021), June 2021.
  5. M. S. Alam, K. -C. Kwon, S. M. Imtiaz, J. -K. Pan, J. -R. Jeong, N. Kim, “User interactive high-resolution multi-view display system using a three-dimensional head-tracking camera,” Proc. SPIE 11708, Advances in Display Technologies XI, 117080E (5 March 2021); https://doi.org/10.1117/12.2578331
  6. M. S. Alam, Y. -T. Lim, J. -K. Pan, and N. Kim, “Interactive Three-Dimensional Multiview Display System Using a Head Tracking Camera,” in the 20th International Meeting on Information Display, August 2020.
  7. M. S. Alam, K. -C. Kwon, M. -C. Erdenebat, Y. -T. Lim, S. M. Imtiaz, M. A. Sufian, S. Jeon, and N. Kim, “Resolution Enhancement of an Integral Imaging Microscopy Using Generative Adversarial Network,” in 14th Pacific Rim Conference on Lasers and Electro-Optics (CLEO PR 2020), OSA Technical Digest (Optical Society of America, 2020), paper C3G_4.
  8. M. A. Alam, F. N. Khan, A. H. Khan, A. Jannat, N. E. Nisa, M. S. Alam, N. Kim, “Real-time content creation and transmission of a 3D Internet TV system based on integral imaging using GPU parallel processing,” Proc. SPIE 11304, Advances in Display Technologies X, 113040F (13 April 2020); https://doi.org/10.1117/12.2547115
  9. Y. -L. Piao, M. S. Alam, E. Dashdavaa, S. -K. Gil, K. -Y. Lee, N. Kim, “Generation speed enhancement for full color computer generated holography using multiple wave-front recording planes,” Proc. SPIE 11306, Practical Holography XXXIV: Displays, Materials, and Applications, 113060X (21 February 2020); https://doi.org/10.1117/12.2548610
  10. M. S. Alam, K. -C. Kwon and N. Kim, “Trajectory-Based Air-Writing Character Recognition Using Convolutional Neural Network,” in 4th International Conference on Control, Robotics and Cybernetics (CRC), 2019, pp. 86-90, doi: 10.1109/CRC.2019.00026
  11. M. S. Alam, K. -C. Kwon, M. -U. Erdenebat, Y. Piao, and N. Kim, ” Centralized Server-based Light Field Display System Using a Head Tracking Camera,” in the 7th International Conference on Big Data Applications and Services, Jeju, South Korea, August 2019.
  12. M. A. Alam, M. Subhani, M. S. Islam, M. Z. Tareque, M. R. R. Rafi, M. S. Alam, N. Kim, “Faster computation of elemental image generation for real-time integral imaging 3D display system using graphics processing unit and multi-directional projection scheme,” Proc. SPIE 10942, Advances in Display Technologies IX, 109420O (13 March 2019); https://doi.org/10.1117/12.2509716
  13. M. A. Alam, A. H. Khan, F. N. Khan, N. E. Nisa, A. Jannat, M. S. Alam, N. Kim, “Glass-free 3D internet TV system using integral imaging,” Proc. SPIE 10942, Advances in Display Technologies IX, 109420N (13 March 2019); https://doi.org/10.1117/12.2506703
  14. M. -U. Erdenebat, M. S. Alam, K. -C. Kwon, K. H. Kwon, M. Y. Kim, S. -K. Gil, N. Kim, “Resolution-enhanced mobile three-dimensional display based on computer-generated integral imaging,” Proc. SPIE 10942, Advances in Display Technologies IX, 109420P (1 March 2019); https://doi.org/10.1117/12.2510928
  15. Y. Zhau, M. S. Alam; S. -H. Jeon, N. Kim” Fast calculation method for full-color computer-generated hologram with real objects captured by a depth camera,” Electronic Imaging, Stereoscopic Displays and Applications XXIX, pp. 250-1-250-6(6); https://doi.org/10.2352/ISSN.2470-1173.2018.04.SDA-250
  16. Y. Zhao, M. Islam, S. Alam, S. Jeon, and N. Kim, “Rapid calculation of full-color holographic system with real objects using relocated point cloud gridding method,” in Imaging and Applied Optics 2018 (3D, AO, AIO, COSI, DH, IS, LACSEA, LS&C, MATH, pcAOP), OSA Technical Digest (Optical Society of America, 2018), paper JTu4A.2.
  17. M. S. Alam, K. -C. Kwon, Y. Zhao, M. A. Alam, and N. Kim, ” Hand Finger-Joint Tracking Based Digit Recognition,” in the International Conference on Convergence Content 2017.
  18. M. A. Alam, M. S. Islam, M. Z. Tareque, M. Subhani, M. R. R. Rafi, M. S. Alam, N. Kim, “Viewing angle enhancement of a real-time integral imaging system using multi-directional projections and GPU parallel processing,” Proc. SPIE 10126, Advances in Display Technologies VII, 101260C (16 February 2017); https://doi.org/10.1117/12.2251360