![](https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhkzn9fXcEn7htMOKuZWWqZTsp4cOLQ1U0bSZGpfMb5lRA8Q-UBzeYerFw0eaqHpJWk6Cu6G5ea_S4-bCntKz7OO0bwK9Ml3GmJ9JSY_ar-hJFOyqFsw9uMBR79UE6b2-BNwubAfxAI3Vl-/s400/duh0.gif)
Set of eight 1080x1920 images/views for which we want to build a dense 3D reconstruction with MVS10.
![](https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjVR0Dvo_ttRZXr_du_yW4VCTyQSLmodCrS2aMCJCLl6PlEswoQLvuYZMTwUnZl_xpMsvZaPaboqGdcj6aIcqykCnCXoPGnETlB502jRcuMZHZcCPzls2nuYQ3yjIoPuru9FpfbwpIdcB7e/s400/duh.gif)
Animated gif showing the dense 3D reconstruction produced by MVS10 using downsampling factor = 4 (and sampling step = 2).
A downsampling factor of 4 means that the original images are downsampled (shrunk) by a factor of two twice. This dense 3D reconstruction has 351,520 3D points.
![](https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEixoXa8fy3xmGB_Z6LPxWgbOhKb-1bFjkDOR82_CZegVHhi-JakMTrMztT4NkQbAJ5fmF4SD_UB7Jo41iYmfAMH16icOSd9hWajr9pHXUwpDrj10_zgHyoI3W_J_8w4zXet4o81tSFPZhC-/s400/duh.gif)
Animated gif showing the dense 3D reconstruction produced by MVS10 using downsampling factor = 2 (and sampling step = 2).
A downsampling factor of 2 means that the original images are downsampled (shrunk) by a factor of two once. This dense reconstruction has 384,808.
Looking at the two animated gifs, there doesn't seem to be much of a difference between the two reconstructions. The conclusion is that downsampling images in order to compute disparity maps faster is a-ok (as long as you don't overdo it and downsample too much).
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