- My first question is if this is machine learbed or algorithm. I doubt its algorithm as it needs "object detection" then needs to know the cloths "resting state".
- Does it detect changes based on shadows or are the multiple cameras? If shadows, this may be gameable/corruptable. If multiple cameras, how many?
- I saw xy rotation, xy skewing and multiple objects. Folding in the xz plane and could detect a "front and back" to a t-shirt when he did the jump spin. I didnt see how it adapted to xz rotation or a combination. I also dont understand how it knows there was a "back" and a "front" without mapping the object in internal 3d spacewhich may or may not work for some arbitrary shape. I did not see adaption to depth though in great degreee
If I understand correctly
- machine learned arbitrary 3d blobs into 3d space. Through multiple cameras or lighting or blth
- machine learn changes to the blob as not "new blobs" but changes to existing ones
- create image to match that of location and polygon of the fabric. Merge certain pixels when condensing. Duplicating when expanding. Employ anti aliasing techniques
- send image to projector
Im not sure the application but it is certain unique, fun and interesting technology.
That is pretty awesome, it reminds me of the wii-remote mapping for displays that Johnny Lee did (https://www.youtube.com/watch?v=XgrGjJUBF_I) back in 2007. This looks like a commercialization of that work 10 years later.
- My first question is if this is machine learbed or algorithm. I doubt its algorithm as it needs "object detection" then needs to know the cloths "resting state".
- Does it detect changes based on shadows or are the multiple cameras? If shadows, this may be gameable/corruptable. If multiple cameras, how many?
- I saw xy rotation, xy skewing and multiple objects. Folding in the xz plane and could detect a "front and back" to a t-shirt when he did the jump spin. I didnt see how it adapted to xz rotation or a combination. I also dont understand how it knows there was a "back" and a "front" without mapping the object in internal 3d spacewhich may or may not work for some arbitrary shape. I did not see adaption to depth though in great degreee
If I understand correctly
- machine learned arbitrary 3d blobs into 3d space. Through multiple cameras or lighting or blth
- machine learn changes to the blob as not "new blobs" but changes to existing ones
- create image to match that of location and polygon of the fabric. Merge certain pixels when condensing. Duplicating when expanding. Employ anti aliasing techniques
- send image to projector
Im not sure the application but it is certain unique, fun and interesting technology.