Implement the Local Binary Pattern feature extraction from a given image.
Implement face recognition on the ATT face dataset using the LBP approach. Each image will be divided into a 5x5 grid and then LBP features computed in each grid cell. The total features for a given face will then be 58x25 (58 for LBP and 25 is the number of blocks in the 5x5 grid). Use 5 images for each person as the known images. The remaining 5 images are to be used for testing. Determine the percent recognition rate.
I will provide everything once we discuss the details.
I have attached some of my work.
I have been working with image processing for past five years. Also I have worked with LBP already. So I hope this experience will help me to finish this task in specified time.
I will be using C# for implementing this algorithm in .net framework.
Please feel free to contact me for further details