Object Recognition Project

I am doing project on Efficient Object Recognition using Parametric Eigenspace method.

The project has 2 phases:

1. Training Phase
2. Recognition Phase

I have completed training phase in which a set of images are used for forming UNIVERSAL EIGENSPACE for all objects & and also OBJECT EIGENSPACE for individual object.

I am currently trying to implement recognition phase which recognises the object along with its class and position.

In the recognition phase,after loading training data,test image is projected on universal eigenspace. I am using methods such as Euclidean distance, Chessboard distance, Chisquare distance for classification and comparing results of the 3 methods.

I am not getting how to implement the recognition phase after loading the training data.

Please help me how to proceed further.

[LOKESH KAVULURU]

@Tushar can I know the process which you implemented to get the training space, as I am doing the project related to it by using principal component analysis, your feedback would be very useful to me.

Answer 1

[Walter Roberson]

You can probably find some useful hints from answers to one of the other projects posted about, #264