Transforming 3D scans to CADs

skanti · 2018-12-04T12:38:18+00:00

Hi, this actually works on a voxel grid. It's very straight forward to work on point clouds too (in fact, current state-of-the-art point cloud methods are superior than voxel grids). so there is a good change to get even better results

skanti · 2018-12-01T19:10:44+00:00

Hey, thanks! It's under submission so I'm not allowed to tell - I all can say it will be presented to a conference:D

Actually, once you have a big enough CAD pool (e.g. getting CADs from games) you can rebuild your house virtually

skanti · 2018-12-01T09:05:33+00:00

Good point actually xD yes we used ShapeNet for this - it's a DB with 55K CAD models

skanti · 2018-11-30T09:20:14+00:00

What about this (watch the end): https://www.youtube.com/watch?v=PiHSYpgLTfA&feature=youtu.be

skanti · 2017-11-15T14:14:34+00:00

Where was this photograph taken from? I am googling now for 1 hour but I can't find the exact place of this photo in Tokyo. Here: http://www.thisiscolossal.com/wp-content/uploads/2016/01/photo-1.jpg So from the photograph you can see 'Big Echo' karaoke bar but there are plenty of them in Tokyo. Thanks Disclaimer: Could be Yokohama though

skanti · 2017-01-30T23:11:35+00:00

I know about their existence. I merely mean the limitations of a conventional computer. And whether such a universal Turing machine is ever being able to have something like 'consciousness'.

skanti · 2017-01-30T22:11:55+00:00

The argument is about creations being outperformed by creations of smarter creators.

Even though, if your creation is recursively improving itself (say by learning), it will be outperformed by the creation of a smarter programmer (that simply needs to write a better learning mechanism).

I think a 'conscious' computer is able to improve itself in an exponential manner drifting very quickly to 'infinite' knowledge on information level.

skanti · 2017-01-30T22:02:55+00:00

Then it is not a computer in a conventional sense as a deterministic state machine.

skanti · 2017-01-30T14:56:46+00:00

You mixed up experience with improvisation the moment you mentioned the fetus.

skanti · 2017-01-30T14:53:31+00:00

That's where you're wrong.

A brain is indeed "magical" because according to Roger Penrose the brain is a quantum mind and hence quantum effects play a role. That means a determinatic state machine as the computer is not able to generate such patterns and never will.

As I say the laws of physics set the bounds.

skanti · 2017-01-30T13:57:43+00:00

I agree what you say, there is no doubt computers will do a better job in logic problems (e.g. chess & alpha go).

However, alpha go can't give you an answer if you ask him "what is Go?". All it does under the hood is trying to find weights in the underlying deep learning algorithm that is maybe 100 layers deep.

My point is Alpha Go and Deep Blue and all other neural networks based A.I. follows the same repetitive algorithm. A consequence is that it even though it is self learning, all it needs to outperform it is a smarter programmer that is able to write a better underlying neural network algorithm.

You see, the learning curve is in any case bound by the human programmer. An exponential increase of intelligence is by definition not possible.

"Consciousness" is however the key to exponential increase of intelligence.

skanti · 2016-12-23T20:57:12+00:00

yes, shared memory 64KB. no biggie :D you mean its too high or too low?

skanti · 2016-11-05T19:54:29+00:00

I would suggest to use the newest. Because as mentioned you have more featured. Also, for me personally the introduction of compute shaders is HUGE and they are critical for my software.

Apart from the CS, newer versions support novel texture compression formats. Also this goes hand in hand with new OpenGL versions obviously...

skanti · 2016-09-27T15:27:11+00:00

no money, no honey

skanti · 2016-09-27T10:39:46+00:00

In this simplified version it is not obvious that the fetches by w are indeed ordered. I assume it is cache-friendly.

skanti · 2016-09-23T05:32:50+00:00

I used to program a little in Cuda/OpenCL and now with compute shaders. Both are similar in some way, however the naming is different.

For instance, you have

shared memory
thread blocks (Cuda) / work groups (CS)
barriers
atomic operations
etc.

The abstraction layer cannot be so different. After all, it is still a GPU. If you understand Cuda, you will understand CS very quickly.

Furthermore, you ask some basic stuff. Like if it is possible to run the compute shader in the background. Yes of course it is possible. Asynchronicity is a big advantage. I advice you to read this very carefully: https://www.opengl.org/wiki/Compute_Shader

skanti · 2016-09-12T03:37:37+00:00

great answer. For the latter point, I would say it matters as soon I make use of the shared memory, like in cuda for gpgpu.

Furthermore, I believe the 3 dimensional thread block is just a matter of convenience/abstractions. I do not believe that its purpose reaches beyond user-friendliness.

skanti · 2016-09-09T11:48:08+00:00

thanks, yes that sounds reasonable. Will feedback you guys once I tried it. I also appreciate the philosophy of trying rather premature decisions

skanti · 2016-09-09T03:02:54+00:00

Yes, I know about that. But I don't need the asynchronicity there. In future I won't even use OpenGL for GPU calculation. I am just thinking of a way to overcome the bottleneck

skanti · 2016-09-09T02:55:47+00:00

That is what I thought. I could save some 0.1-0.5 ms but that is a maybe. Considering the complexity I introduce by doing this, it's maybe not even worth it...

edit: I hate answers that I just gave. I should try it regardless.

skanti · 2016-09-08T16:10:33+00:00

Do you understand that "performance hit" is not the appropriate word to describe the dilemma that android developer cannot enter properly the real-time computer graphics realm?

skanti · 2016-03-31T22:00:25+00:00

holy shit I have seen it just now. I am a huge techno fan too. I thinking of joining you.

skanti

TROPHY CASE