Body: <p>Image recognition can be used to classify images. But I wanted to find few parameters like height of person, his legs, his hand etc. Will CNN helpful for this type of output ?</p>
  
Comments.ContentLicense: CC BY-SA 3.0
Comments.CreationDate: 2017-10-07T00:48:21.237Z
Comments.Text: You can guess, but not really unless you have depth sensing data because your neural network will perceive things differently based on the camera angle.
Comments.UserDisplayName: Aiden Grossman
Comments.ContentLicense: CC BY-SA 3.0
Comments.CreationDate: 2017-10-07T08:37:20.133Z
Comments.Text: @AidenGrossman If every images are taken from constant distance. Like.. If the distance from the person and camera is constant in all images. Will that work ?
Comments.UserDisplayName: Naveen Honest Raj K
Comments.ContentLicense: CC BY-SA 3.0
Comments.CreationDate: 2017-10-07T10:14:38.133Z
Comments.Text: it will probably work, but it still would not be as accurate as a depth sensing camera.
Comments.UserDisplayName: Aiden Grossman
Tags: <convolutional-neural-networks><image-recognition>
Title: Can Image Recognition used to find height of a person whole, torso, legs etc
UserDisplayName: Naveen Honest Raj K
ThreadText: # Can Image Recognition used to find height of a person whole, torso, legs etc
  
  (Asked by: username_0 on 2017-10-05)
  
  Image recognition can be used to classify images. But I wanted to find few parameters like height of person, his legs, his hand etc. Will CNN helpful for this type of output ?
  
  **Tags:** convolutional-neural-networks, image-recognition
  
  > **Comments:**
  > **username_1**: You can guess, but not really unless you have depth sensing data because your neural network will perceive things differently based on the camera angle.  
  > **username_0**: @username_1 If every images are taken from constant distance. Like.. If the distance from the person and camera is constant in all images. Will that work ?  
  > **username_1**: it will probably work, but it still would not be as accurate as a depth sensing camera.  
  
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  ## 0 answers
  
  