# Feature Request: Pre-Fusion + Keyframe ICP + Final Fusion

**URL:** <https://forum.revopoint3d.com/t/feature-request-pre-fusion-keyframe-icp-final-fusion/24150>\
**Category:** Support & Feedback\
**Created:** [March 7, 2024, 9:56am UTC](https://forum.revopoint3d.com/t/feature-request-pre-fusion-keyframe-icp-final-fusion/24150 "2024-03-07T09:56:25Z")\
**Posts on this page:** 1\
**Showing post:** 7

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**Author:** ![fxtentacle](https://avatars.discourse-cdn.com/v4/letter/f/9e8a1a/32.png) [@fxtentacle](https://forum.revopoint3d.com/u/fxtentacle)\
**Post date:** [March 8, 2024, 8:52am UTC](https://forum.revopoint3d.com/t/feature-request-pre-fusion-keyframe-icp-final-fusion/24150/7 "2024-03-08T08:52:45Z")

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> [@PUTV](#):
>
> White blood cell is 10 microns what is 0.01mm

Oops, yeah, it looks like I mixed up red and white cells.

> **[(human blood cell depth) to mm - Wolfram|Alpha](https://www.wolframalpha.com/input?i=%28human%2Bblood%2Bcell%2Bdepth%29%2Bto%2Bmm)**
>
> Wolfram|Alpha brings expert-level knowledge and capabilities to the broadest possible range of people—spanning all professions and education levels.

says 0.0029mm but I overlooked that it says “erythrocyte”, meaning red blood cell.

> [@PUTV](#):
>
> it is impossible to get better results than the hardware is capable of producing in first place

I’ve been working in that field for a while and I still find it super weird that such magic is possible. But actually, you can use a low-res camera combined with some movements and advanced algorithms to generate high-res photos 🤯

Here’s Google’s research for the Pixel 3 (and following) on how they do exactly that:

> **[1905.03277v2.pdf](https://arxiv.org/pdf/1905.03277v2.pdf)**
>
> 11.43 MB

In my opinion, this illustration (from the linked PDF) nicely shows how they (Google researchers) can fuse 4 low res images into 1 high res result:

 ![image](https://canada1.discourse-cdn.com/flex029/uploads/revopoint3d/original/3X/e/e/ee83ae7d8f331af2c39648fd08055f090a625223.png)

I understand that with the current software and algorithms, over-scanning harms the accuracy of the final model. But I am also very optimistic that implementing those Google algorithms would make the final scan more precise than what the hardware can deliver. It feels like magic, but it’s actually just mathematics.

> [@PUTV](#):
>
> 0.02mm = 20 microns
> 
> For this kind of work you need very stable conditions , secured scanner, secured turntable , eliminating any possible movement to be capable to capture the perfect frames .

I fully agree with you there. That’s what I’m asking for here: [Feature Request: Turntable + Single frame](https://forum.revopoint3d.com/t/feature-request-turntable-single-frame/24149)  
that the software will help me eliminate movement by pausing the turntable while capturing the frames.

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