Timeline for What to do when facial recognition fails to find a face?
Current License: CC BY-SA 3.0
11 events
| when toggle format | what | by | license | comment | |
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| Feb 13, 2021 at 19:21 | history | edited | Ethan |
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| Nov 28, 2017 at 2:52 | answer | added | TheBiometricsGuy | timeline score: 1 | |
| Nov 27, 2017 at 8:51 | answer | added | Green Falcon | timeline score: 1 | |
| Nov 25, 2017 at 6:31 | comment | added | enterML | @JSLavertu as Emre said this is a business problem and what we suggest might not be the optimal solution to your problem. The only thing that I can suggest is that you pass each image through a convnet, store the features extracted in your database and when you want to compare your test image, just check the L2 distance between the test image features and the features stored in the database. | |
| Nov 24, 2017 at 19:18 | comment | added | JS Lavertu | @Emre I've modified the question to hopefully give enough detail for an answer. | |
| Nov 24, 2017 at 19:15 | history | edited | JS Lavertu | CC BY-SA 3.0 |
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| Nov 24, 2017 at 19:12 | comment | added | Emre | The 'preferred' solution is not up to us to decide, and we don't know enough about your application to even make relevant suggestions. For example, what is the cost of misdetection?, is it online?, is the consumer a user who can provide feedback? etc. | |
| Nov 24, 2017 at 19:10 | comment | added | JS Lavertu | @Emre What do you mean? I'm not sure I follow. | |
| Nov 24, 2017 at 19:07 | comment | added | Emre | As the question stands, that's a business (product) problem, not a technical one, so we can not answer it. Welcome to the site! | |
| Nov 24, 2017 at 19:06 | review | First posts | |||
| Nov 24, 2017 at 20:31 | |||||
| Nov 24, 2017 at 19:03 | history | asked | JS Lavertu | CC BY-SA 3.0 |