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.
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LOKESH KAVULURU
2017 年 1 月 15 日
@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.
回答 (1 件)
Walter Roberson
2011 年 1 月 22 日
You can probably find some useful hints from answers to one of the other projects posted about, #264
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