I need to generate Bokeh effect with the android custom camera.
I am using a dual-camera device. But unable to find any option to take the picture and do Image segmentation.
I had a look at some library also and found https://github.com/RedApparat/FaceDetector library. If I could focus an object and blur rest of background then also it will be working for me.
Is there any hint how device with dual lens works?
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I'm building an Android app that has to identify, in realtime, a mark/pattern which will be on the four corners of a visiting card. I'm using a preview stream of the rear camera of the phone as input.
I want to overlay a small circle on the screen where the mark is present. This is similar to how reference dots will be shown on screen by a QR reader at the corner points of the QR code preview.
I'm aware about how to get the frames from camera using native Android SDK, but I have no clue about the processing which needs to be done and optimization for real time detection. I tried messing around with OpenCV and there seems to be a bit of lag in its preview frames.
So I'm trying to write a native algorithm usint raw pixel values from the frame. Is this advisable? The mark/pattern will always be the same in my case. Please guide me with the algorithm to use to find the pattern.
The below image shows my pattern along with some details (ratios) about the same (same as the one used in QR, but I'm having it at 4 corners instead of 3)
I think one approach is to find black and white pixels in the ratio mentioned below to detect the mark and find coordinates of its center, but I have no idea how to code it in Android. I looking forward for an optimized approach for real-time recognition and display.
Any help is much appreciated! Thanks
Detecting patterns on four corners of a visiting card:
Assuming background is white, you can simply try this method.
Needs to be done and optimization for real time detection:
Yes, you need OpenCV
Here is an example of real-time marker detection on Google Glass using OpenCV
In this example, image showing in tablet has delay (blutooth), Google Glass preview is much faster than that of tablet. But, still have lag.
Working on Android Mobile Camera
Want to implement the motion blur effect to the Android mobile camera.
This is implemented in iOS using the filter GPUImageLowPassFilter. I want alternative for this in android.
The best way to do this is to take a screen shot of the control, apply a blur to it, and then show that image over the top of the original control. This is how the yahoo weather app does it and its how google suggest you do things like this.
Render script does bluring fast. I've also got some code, but it's not currently at hand right now.
These might help:
http://blog.neteril.org/blog/2013/08/12/blurring-images-on-android http://docs.xamarin.com/recipes/android/other_ux/drawing/blur_an_image_with_renderscript/
I've also read that there are methods built into Android that do this, but the API isn't public so we cannot use it... which sucks.
I am looking for some kind of auto trim/crop functionality in android.
Which detects a object in captured image and creates a square box around object for
cropping. I have found face detection apis in android, but my problem is captured images are documents/pages not human faces so how can I detected documents or any other object from captured picture.
I am thinking of any algorithms for object detection or some color detection. Is there any apis or libraries available for it.
I have tried following link but not found any desired output.
Find and Crop relevant image area automatically (Java / Android)
https://github.com/biokys/cropimage
Any small hint would also help me alot. Please help. Thanks in advance
That depends on what you intend to capture and crop, but there are many ways to achieve this. Like littleimp suggested, you should use OpenCv for the effect.
I suggest you use edge-detection algorithms, such as Sobel, and perform image transformation on it with, for example, a Threshold function that will turn the image into a binary one (only black and white). Afterwards, you can search the image for the geometric shape you want, using what's suggested here. Filter the object you want by calculating the detected geometric figure's area and ratio.
It would help a lot to know what you're trying to detect in an image. Those methods I described were the ones I used for my specific case, which was developing an algorithm to detect and crop the license plate from a given vehicle image. It works close to perfect and it was all done by using OpenCV.
If you have anything else you'd like to know, don't hesitate to ask. I'm watching this post :)
Use OpenCV for android.
You can use the Watershed (Imgproc.watershed) function to segment the image into foreground and background. Then you can crop around the foreground (which will be the document).
The watershed algorithm needs some markers pre-defining the regions. You can for example assume the document to be in the middle of the image, so create a marked region in the middle of the image to get the watershed algorithm started.
i`m trying to write an application that will detect red objects appearing in a live preview (taken from the camera.
my goal is to provide a gray-scale preview and on top of it to show the red colored objects.
i`v read this, and was trying to play with the OpenCV-2.3.1 samples but with no avail...
any kind of help would be much appreciated!
I am trying to display a .md2 model over top of the camera preview on my android phone. I don't need to use the accelerometers or anything. If anyone could even just point me in the right direction as to have to set up an opengl overlay that would be fantastic. If you are able to provide code that shows how to enable this that would be even better! It would be greatly appreciated..
I'm not able to provide code until later this week, but you might want to check out a library called min3d, because I believe they already have a parser written for .md2 files. Then I believe that if you use a GLSurfaceView, the background can be set to be transparent, and you can put a view of the camera behind it. Are you trying to get some kind of augmented reality effect? There are android specific libraries for that too, but they're pretty laggy (at least on my Motorola Droid).