“2D-3D Human Face databases: A review”

  • PatelMehulkumar Nareshchandra, Dr. Mukta Agarwal


In this paper, a survey of the at present accessible 2D Face databases with its assessment conventions is an engaging procedure. A 3D face acknowledgment database has been accessible lately for specialists in three-dimensional (3D) face acknowledgment and other related fields in biometric applications. 3D face acknowledgment accomplishes preferred exactness over two-dimensional (2D) face acknowledgment. A 3D face database or a rich arrangement of different boundaries, for example, lighting issues, diverse outward appearances, ends, head pivot (present variety), and maturing of an individual. In any case, the fundamental issue with 3D face acknowledgment strategies is the altering of 3D face pictures that generally require a scope of various cameras. That is the place the exploration network is confronting inconvenience. 3D face acknowledgment is additionally founded on accessible 3D face databases. In this paper, we are going to introduce a subjective audit of all accessible 2D and 3D face databases. We will probably improve the ebb and flow comprehension of the test convention with facial acknowledgment with an end goal to help specialists precisely duplicate and think about outcomes. Additionally, general operational measures and suggestions in facial acknowledgment are talked about for facial databases that don't have an assessment convention.

How to Cite
PatelMehulkumar Nareshchandra, Dr. Mukta Agarwal. (2020). “2D-3D Human Face databases: A review”. International Journal of Advanced Science and Technology, 29(2), 4539 - 4548. Retrieved from http://sersc.org/journals/index.php/IJAST/article/view/28459