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I want to make an iOS/Android app that does like this: take an photo of user's face, then search in Data Base to find most similar face by comparing face's features, skin color tone .etc.
I want to do this compare by feature matching . It does this by comparing structure, shape and proportions of the face; distance between the eyes, nose, mouth and jaw; upper outlines of the eye sockets; the sides of the mouth; location of the nose and eyes; and the area surrounding the check bones. How can I do this ?
Is there any open source solution for that?
You probably want to checkout
http://opencv.willowgarage.com/wiki/
OpenCV has elements to build this up and works on Android and iOS. Other options:
Face Detection in Android?
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I want to scan a image to detect the colour and text from the image. I have found OCR tutorial to do the same and implement it. But I don't want to capture image just want to scan image and detect text. Is there any library with which I can detect the text and colour from image when I scan ?
Thanks!
You could take a look at google's Vision API. It has said feature and is fairly easy to use.
Here, I have some more examples at below link for OCR related codes:
http://asprise.com/royalty-free-library/java-ocr-api-overview.html
https://github.com/googlesamples/android-vision/tree/master/visionSamples/ocr-codelab
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I want to detect the user's physical heartbeat using the front-facing camera of the phone.
Some apps detect heartbeat in the finger using micro changes of the red color intensity of the finger, while turning on the led flash.
I'm interested in learning the user's heartbeat based on their facial red color intensity.
The solution can take into account that the lighting is ideal and only the red color intensity of the user's face is changing.
Does anyone know of a solution for this?
Is there a ready made algorithm for that?
Did anyone write an implementation for that?
Thank you!
Yes indeed it's possible. Take a look at this TED talk that demonstrates exactly that. In the video the presenter provides a link that includes the source code, as well as pre-built tools that do that sort of processing on existing video:
http://www.ted.com/talks/michael_rubinstein_see_invisible_motion_hear_silent_sounds_cool_creepy_we_can_t_decide?language=en
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I am attempting to Reduce the glare produced when taking a photo or video of a Reflecting surface; Window, Glasses or another Mobile Device.
I have done some research on the subject, and it seems that some algorithms exist. But I am yet to find a coded implementation.
The reason I need this is because I am making an Application that allows you to read different colours on another devices screen using the camera on your device.
And if there is a lot of glare, the colours wont read properly. It needs to be able to distinguish between 16 Colors.
Are there any existing implementations, and if so how would I implement them into Android?
I recommend doing a threshold on top of a gaussian blur to identify bright spots in your image and removing them. OpenCV is the industry standard and your best bet for image manipulation. I recommend doing some experiments on a computer first to get your process flow right first, before moving it onto a phone. Also, stay away from anything too novel/complicated.
[1] How to detect Hotspots in an image
[2] http://opencv.org/platforms/android.html
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I must implement an applcation that draws a heart on a person seen via an Android device camera(augmented reality stuff).
So, I must detect the shape/contour of the upper part of human body(head, neck, shoulders) in order to know where the heart must be situated. This stuff must be made in real time.
I've searched about this stuff but I haven't find something useful. Does anybody know some tutorials or examples of something related to this? Thanks.
I would recommend using OpenCV if the memory isn't a problem ( your app would be like 50 MB). There are plenty of tutorials to learn how to use OpenCV. Try Cascade Classifier
In case of face detection, as far as i know, android has a library for this. Camera.Face
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I am trying to develop a mobile tool to check-in via face. This application is intended for employee place and time log-in. The app will simply take a picture or scan a face, look for a match in the database, and log-in the employee, then another employee will simply show his face to the camera to log-in for his/her shift.
I am looking for available face identification products, suitable libraries or any other suggestion. Thanks!
Lambda Labs Face API is what you need
http://api.lambdal.com/?ref=homepage
It's still in beta though. It's free for first 4000 detection and 1000 recognition per month :)
On Android you could use the FaceDetector class already available in the OS.
You can find an example here.