Body: <p>I am using the shapenet dataset. From this dataset, I have 3d models in .obj format. I rendered the images of these 3d models using pyrender library which gives me an image like this :
  <a href="https://i.sstatic.net/QGbzK.png" rel="nofollow noreferrer"><img src="https://i.sstatic.net/QGbzK.png" alt="enter image description here"></a></p>
  
  <p>Now I am using raycasting to voxelize this image. The voxel model I get is something like below :</p>
  
  <p><a href="https://i.sstatic.net/Geqs6.png" rel="nofollow noreferrer"><img src="https://i.sstatic.net/Geqs6.png" alt="enter image description here"></a></p>
  
  <p>I am not able to understand why I am getting the white or light brown colored artifacts in the boundary of the object.</p>
  
  <p>The reason I could come up with was maybe the pixels at the boundary of the object contain two colors, so when I traverse the image as numpy array, I get an average of these two colors which gives me these artifacts. But I am not sure if this is the correct reason.</p>
  
  <p>If anyone has any idea about what could be the reason, please let me know </p>
  
Comments.ContentLicense: CC BY-SA 4.0
Comments.CreationDate: 2020-01-07T00:40:55.197Z
Comments.Text: This is off topic. @nbro
Comments.UserDisplayName: Clement
Comments.ContentLicense: CC BY-SA 4.0
Comments.CreationDate: 2020-01-08T11:16:19.700Z
Comments.Text: I checked on google for the forums where I can ask questions about computer vision. This forum came up citing the reason that since "computer-vision" is available as one of the tags, questions related to this can be posted here
Comments.UserDisplayName: mascot
Comments.ContentLicense: CC BY-SA 4.0
Comments.CreationDate: 2020-01-08T15:04:39.137Z
Comments.Text: Please refer to the help center for questions that is on topic. https://ai.stackexchange.com/help/on-topic
Comments.UserDisplayName: Clement
Comments.ContentLicense: CC BY-SA 4.0
Comments.CreationDate: 2020-01-08T15:05:59.427Z
Comments.Text: The computer vision tag in this case means this: `For questions related to computer vision, which is an interdisciplinary scientific field (which can e.g. use image processing techniques) that deals with how computers can be made to gain high-level understanding from digital images or videos. For example, image recognition (that is, the identification of the type of objects in an image) is a computer vision problem` This is defined in the tag wiki of the computer-vision tag. Your question clearly does not fit the description of the tag.
Comments.UserDisplayName: Clement
Comments.ContentLicense: CC BY-SA 4.0
Comments.CreationDate: 2020-01-08T15:15:26.617Z
Comments.Text: @mascot If you can put this problem in the context of computer vision, then this question may be on-topic here. Maybe try reformulating your question.
Comments.UserDisplayName: nbro
Tags: <computer-vision><image-processing>
Title: Rendering images and voxelizing the images
UserDisplayName: mascot
ThreadText: # Rendering images and voxelizing the images
  
  (Asked by: username_0 on 2020-01-06)
  
  I am using the shapenet dataset. From this dataset, I have 3d models in .obj format. I rendered the images of these 3d models using pyrender library which gives me an image like this :
  [![enter image description here](https://i.sstatic.net/QGbzK.png)](https://i.sstatic.net/QGbzK.png)
  
  Now I am using raycasting to voxelize this image. The voxel model I get is something like below :
  
  [![enter image description here](https://i.sstatic.net/Geqs6.png)](https://i.sstatic.net/Geqs6.png)
  
  I am not able to understand why I am getting the white or light brown colored artifacts in the boundary of the object.
  
  The reason I could come up with was maybe the pixels at the boundary of the object contain two colors, so when I traverse the image as numpy array, I get an average of these two colors which gives me these artifacts. But I am not sure if this is the correct reason.
  
  If anyone has any idea about what could be the reason, please let me know
  
  **Tags:** computer-vision, image-processing
  
  > **Comments:**
  > **username_1**: This is off topic. @username_2  
  > **username_0**: I checked on google for the forums where I can ask questions about computer vision. This forum came up citing the reason that since "computer-vision" is available as one of the tags, questions related to this can be posted here  
  > **username_1**: Please refer to the help center for questions that is on topic. https://ai.stackexchange.com/help/on-topic  
  > **username_1**: The computer vision tag in this case means this: `For questions related to computer vision, which is an interdisciplinary scientific field (which can e.g. use image processing techniques) that deals with how computers can be made to gain high-level understanding from digital images or videos. For example, image recognition (that is, the identification of the type of objects in an image) is a computer vision problem` This is defined in the tag wiki of the computer-vision tag. Your question clearly does not fit the description of the tag.  
  > **username_2**: @username_0 If you can put this problem in the context of computer vision, then this question may be on-topic here. Maybe try reformulating your question.  
  
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  ## 0 answers
  
  