Body: <p>What is the difference between principal component analysis and singular value decomposition in image processing? Which one performs better, and why?</p>
  
Comments.ContentLicense: CC BY-SA 4.0
Comments.CreationDate: 2019-12-18T13:57:22.843Z
Comments.Text: Is there are particular (image processing) application you're interested in? PCA and SVD are quite general techniques.
Comments.UserDisplayName: nbro
Comments.ContentLicense: CC BY-SA 4.0
Comments.CreationDate: 2019-12-18T14:02:38.150Z
Comments.Text: The application are Missing Person Detection using python @nbro
Comments.UserDisplayName: DRV
Tags: <computer-vision><comparison><image-processing><principal-component-analysis><singular-value-decomposition>
Title: What is the difference between principal component analysis and singular value decomposition in image processing?
UserDisplayName: DRV
ThreadText: # What is the difference between principal component analysis and singular value decomposition in image processing?
  
  (Asked by: username_0 on 2019-12-18)
  
  What is the difference between principal component analysis and singular value decomposition in image processing? Which one performs better, and why?
  
  **Tags:** computer-vision, comparison, image-processing, principal-component-analysis, singular-value-decomposition
  > **Comments:**
  > **username_1**: Is there are particular (image processing) application you're interested in? PCA and SVD are quite general techniques.  
  > **username_0**: The application are Missing Person Detection using python @nbro  
  
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  ## 0 answers
  
  