ChadB

https://jacket.io

Hey HN. We're releasing our marketing / lead generation page for our new service today. We'd love your helpful feedback and criticism.

Our MVP is trying to solve the CD release show problem for small- to medium-sized bands. It seems to be the norm to have boxes and boxes of CDs leftover from pressing too many (bands get giant price discounts at 1,000, so many will press at that volume even though they're unlikely to move them all).

Much more is planned if the above proves useful. We're excited about the project, but would love some feedback on both marketing and product from HN.

I am interested in extracting a set of objects from a large, noisy image. For instance: if I had a high-resolution picture of a seating section at a stadium, I might want to extract each baseball cap into individual images given a second picture of a prototypical baseball cap.

There is obviously a lot of research published on this subject (by subject I mean image pattern recognition as a whole). I've been pouring through the IEEE, as well as just searching via Google for a couple of days.

My problem is that this is so far from my field of expertise, I feel like I'm wasting an awful lot of time reading research papers that are not applicable or are outdated.

So my question is, if anyone has any experience in this field or a related field, are there a set of known problem definitions I could narrow down my research into? What about known classes of algorithms (and by that I mean more specific than "machine learning" or "neural networks")?

Any advice is mightily appreciated.