With the 0.3 release of the structure sensor SDK from Occipital it brings 3D colour scanning to the iPad addon sensor. I scanned a womble toy for which the above image is the model that was sent by email and loaded into meshlab.
In the pursuit of new technologies I backed the Structure.io sensor from Occipital Inc on Kickstarter. Being one of the first 200 hundred devices I got to grips with the device and think that it is a great device and really can allow your applications to reach out into the real world.
This is a list of iOS image filtering, processing, OCR, utilities and helper libraries and frameworks that I have come across for iPhone and iPad development and thought that they may be useful in one places:
1. GPU Image
By Brad Larson, GPUImage is a fantastic fast processing library to apply gpu accelerated filters to both live camera feed, movies or stills. It works on iOS 4 and above. It includes a range of filters such as Sepia, Grayscale, Blur but you can write your own easily.
2. Core Image
This is an apple framework available from iOS 5. It leverages the GPU and you don’t need to know details of OpenGL, OpenGL ES.
Documentation: Apple Core Image Docs
I came across an article demonstrating the performance of the feature extraction and descriptor, which is useful when building opencv on iOS as it shows how the performance of your application will change across all of the devices. It compares ORB, BRISK, FREAK (using GoodFeaturesToTrack), FAST, BRIEF (using GoodFeaturesToTrack), SIFT and SURF. Continue reading “Feature extractor and descriptor OpenCV performance on iOS iPad and iPhones” »