Object Recognition Project
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I am doing project on Efficient Object Recognition using Parametric Eigenspace method.
The project has 2 phases:
- Training Phase
- 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.
1 Comment
LOKESH KAVULURU
on 15 Jan 2017
@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.
Answers (1)
Walter Roberson
on 22 Jan 2011
You can probably find some useful hints from answers to one of the other projects posted about, #264
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