Object Recognition Project

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Tushar
Tushar 2011-1-21
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.
  1 个评论
LOKESH KAVULURU
LOKESH KAVULURU 2017-1-15
@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.

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回答(1 个)

Walter Roberson
Walter Roberson 2011-1-22
You can probably find some useful hints from answers to one of the other projects posted about, #264

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