Computer Vision Integrated Website

Main Article Content

C S S Krishna Kaushik
Prathit Panda
P S S Asrith
M Patrick Rozario
Prof. Ayain John

Abstract

Computer vision is an integral part of artificial intelligence that empowers machines to perceive the world similar to human vision. Despite its extensive evolution, widespread awareness of its potential remains limited. The goal of the "Computer Vision Integrated Website" paper is to enhance awareness and exhibit the capabilities of computer vision. By creating an accessible platform featuring various computer vision models, authors aim to captivate audiences and drive growth in the field. The paper seeks to illustrate how computers interpret visual information by integrating user-friendly computer vision models into a website. Through practical demonstrations like emotion detection and pose estimation, authors intend to showcase the potential of computer vision in everyday scenarios. Ultimately, authors strive to narrow the knowledge gap between technical advancements in computer vision and public understanding, fostering curiosity and encouraging broader interest in the technology.

Downloads

Download data is not yet available.

Article Details

How to Cite
[1]
C S S Krishna Kaushik, Prathit Panda, P S S Asrith, M Patrick Rozario, and Prof. Ayain John , Trans., “Computer Vision Integrated Website”, IJITEE, vol. 13, no. 2, pp. 20–25, Jan. 2024, doi: 10.35940/ijitee.B9783.13020124.
Section
Articles

How to Cite

[1]
C S S Krishna Kaushik, Prathit Panda, P S S Asrith, M Patrick Rozario, and Prof. Ayain John , Trans., “Computer Vision Integrated Website”, IJITEE, vol. 13, no. 2, pp. 20–25, Jan. 2024, doi: 10.35940/ijitee.B9783.13020124.
Share |

References

Liangchen Song, Gang Yu, Junsong Yuan and Zicheng Liu / Human Pose Estimation and Its Application to Action Recognition: A Survey - Journalof Visual Communication and Image Representation - (2021)

Jinbao Wang, Shujie Tan, Xiantong Zhen, Shuo Xu, Feng Zheng, Zhenyu He and Ling Shao / Deep 3D human pose estimation: A review - Computer Vision and Image Understanding Volume 210 -September 2021 https://doi.org/10.1016/j.cviu.2021.103225

Viha Upadhyay and Prof. Devangi Kotak / A Review on Different Facial Feature Extraction Methods for Face Emotions Recognition System - Pro- ceedings of the Fourth International Conference on Inventive Systems and Control - (ICISC 2020) https://doi.org/10.1109/ICISC47916.2020.9171172

Boris Knyazev, Roman Shvetsov, Natalia Efremova and Artem Kuharenko / Leveraging large face recognition data for emotion classification - 13th IEEE International Conference on Automatic Face & Gesture Recognition - [2018]

Maryam Imani and Gholam Ali Montazer / GLCM Features and Fuzzy Nearest Neighbor Classifier for Emotion Recognition from Face - 7th In- ternational Conference on Computer and Knowledge Engineering (ICCKE2017) - [October 26-27 2017] https://doi.org/10.1109/ICCKE.2017.8167879

Ibrahim A. Adeyanju, Elijah O. Omidiora and Omobolaji F. Oyedokun / Performance Evaluation of Different Support Vector Machine Kernels for Face Emotion Recognition - SAI Intelligent Systems Conference - [2015 November 10-11]

Michael B. Holte, Cuong Tran, Mohan M. Trivedi and Thomas B. Moeslund / Human Pose Estimation and Activity Recognition From Multi- View Videos:Comparative Explorations of Recent Developments - IEEE JOURNAL OF SELECTED TOPICS IN SIGNAL PROCESSING, VOL.6, NO. 5, - SEPTEMBER 2012 https://doi.org/10.1109/JSTSP.2012.2196975

Guyue Zhang, Jun Liu, Hengduo Li, Yan Qiu Chen and Larry S. Davis / Joint Human Detection and Head Pose Estimation via Multi-Stream Net- works for RGB-D Videos - IEEE Signal Processing Letters

Bhushan, Dr. U. (2022). Review of Literature on the Media Uses and Gratifications Derived by Students of Higher Education in India. In Indian Journal of Mass Communication and Journalism (Vol. 2, Issue 1, pp. 1–5). https://doi.org/10.54105/ijmcj.a1020.092122

Storozhenko, L., & Petkun, S. (2019). Electronic Communications as an Element of Management. In International Journal of Innovative Technology and Exploring Engineering (Vol. 8, Issue 11, pp. 459–466). https://doi.org/10.35940/ijitee.k1401.0981119

Dogra, A., & Dr. Taqdir. (2019). Detecting Intrusion with High Accuracy: using Hybrid K-Multi Layer Perceptron. In International Journal of Recent Technology and Engineering (IJRTE) (Vol. 8, Issue 3, pp. 4994–4999). https://doi.org/10.35940/ijrte.c5645.098319

Karanje, P., & Eklarker, Dr. R. (2019). Efficient Multipath Routing to Increase QoS by Link Estimation and Minimum Interference path in MANET’S. In International Journal of Engineering and Advanced Technology (Vol. 9, Issue 2, pp. 4806–4811). https://doi.org/10.35940/ijeat.b2840.129219

Proença, M. da C. (2022). On the Need of Quick Monitoring for Wildfire Response from City Halls. In Indian Journal of Image Processing and Recognition (Vol. 2, Issue 3, pp. 1–4). https://doi.org/10.54105/ijipr.c1014.042322

Most read articles by the same author(s)

<< < 3 4 5 6 7 8 9 10 > >>