an urgent question about PCA on image!

asked 2016-09-07 03:31:51 -0500

littletom gravatar image

updated 2016-09-08 07:43:38 -0500

I've trained an eigenvector matrix from 100 pictures through PCA algorithm.Then I tried to recover one of these 100 images using the matrix I gained,and succeed. It,however,was failure when I tried to recover those images other than in that 100 training samples.That is,information loss greatly.BTW,recovering in there means projecting a picture and then back project it.

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I am sorry, but your question is far from understandable. Can you please improve its quality?

StevenPuttemans gravatar imageStevenPuttemans ( 2016-09-08 06:18:38 -0500 )edit

I've trained an eigenvector matrix from 100 pictures through PCA algorithm.Then I tried to recover one of these 100 images using the matrix I gained,and succeed. It,however,was failure when I tried to recover those images other than in that 100 training samples.That is,information loss greatly.BTW,recovering in there means projecting a picture and then back project it.Please let me know if you are clear this time so I can edit the question again.

littletom gravatar imagelittletom ( 2016-09-08 06:56:36 -0500 )edit

Euhm is that not normal when doing dimensionality reduction? You are explicitly throwing away tons of information!

StevenPuttemans gravatar imageStevenPuttemans ( 2016-09-08 07:20:03 -0500 )edit

yeah,I'm trying to extract the main information in order to reduce the noise and meaningless information in the pictures.As you told,if I can't do so or there are other ways to extract the main information using PCA?

littletom gravatar imagelittletom ( 2016-09-08 07:26:46 -0500 )edit