The app also features the 100 percent viewfinder, which allows the camera's sensor to get the maximum resolution for pictures without sacrificing pixels. Google Camera, released in April, includes the Photo Spheres functionality, along with other tools such as Lens Blur and Panorama. Google has dabbled with photography apps in the past, allowing both amateur and professional photographers to have additional camera capabilities on their smartphones and tablets. The app supports iPhone 4S and above, running on iOS 7.0 or later. The Photo Sphere Camera app is currently available to download for free on iTunes. In addition, while several images of a location, or even a wide version of a picture using the panorama mode of a camera, is able to remind users of a certain place, looking at a Photo Sphere image of the same place is closer to actually standing on that specific location, for sentimental reasons. For one, because it shows a comprehensive shot of a location, the details can be assessed those looking for a specific place, such as for photo shoots and vacation trips. While the functionality of the app is mostly seen as nothing more than a novelty, it has its fair share of uses. Views, a dedicated community for Photo Sphere images, acts as the user's library for all of the collected pictures, which allows the user to easily share the images to other Views users and other social media networks such as Google+, Facebook and Twitter. Once the user is satisfied that the image is exactly how the user sees it, the 360-degree picture can then be uploaded to either Google Maps or Views. × No Photo Sphere camera Photo Sphere for the. Inside the archive I noticed a file called libjni_mosaic.so which (to my best guess) takes care of the mosaic stitching ("photosphere").The completed 360-degree image can be viewed by scrolling around the picture with the user's finger. Find interesting 3D Panoramas and publish your own Photo Spheres.I found a port of the camera app to Samsung.Readers of this post are encouraged to go over the list of functions below and learn about the various algorithms and transformations mentioned.īelow are the steps I followed to get this list: Photo Sphere Viewer is pure JS and based on Three.js, allowing very good performances on WebGL enabled systems (most recent browsers) and reasonably good performances on other systems supporting HTML Canvas. Other projects that were inspired by this code, e.g. JavaScript library which renders 360° panoramas shots with Photo Sphere, the new camera mode of Android 4.2 and above.The relevant source files within the repository mentioned in a previous answer.By listing the function names and looking them up in our favorite search engine we get several interesting hits: Only Lens Blur, (normal) Camera and Video options are available. The panorama namespace described here contains properties that provide information regarding the creation and rendering of photo spheres, also sometimes referred to as panoramas, such as those. But when I installed it on my Moto G device it doesn't have both of those options. Looking it's features, I found it has Photo Sphere and Panorama options. To get a very general sense of what sort of algorithms were involved in this functionality, we can study the shared object (DLL if you prefer Windows lingo) responsible for it. Recently Google launched a new camera app named Google Camera. I consider this answer not so much a solution, but a resource for further research. How Google implements their own PhotoSphere ? Any suggestion is appreciated.Are there any good algorithms (or technical reports, scholar papers) available? If there are any, which one is the best?.Are there any libraries which can do what Google's PhotoSphere does? Since I don't develop for commercial use, any open-source libs are acceptable.Additionally I tried using the Focal(beta) app on Google Play, whose sphere mode is also based on PanoTools/Hugin, their results (in sphere mode) seems no better than ours. I also tried the PanoTools/Hugin lib, although this lib supports predefined photo directions, the result is quite poor and unstable. Feeding the pipeline with photos in all directions only produces a large panorama with curved image boundary. I couldn't find a way to generate a 180x360 degree panorama like PhotoSphere does using this pipeline. However, iPad can provide the arbitrary spatial direction data of each taken photo (with noise though), but I don't know how to utilize these data in the OpenCV stitching pipeline. The pipeline deals with unordered input photos, as far as I know it only uses image feature matching to locate the geometric relations between photos, and the pipeline performs poorly when image feature extraction fails on blank photos (eg. OpenCV 2.4.8 provides with an image stitching pipeline which seems very promising at first glance. What I'm going to do is to implement an application for iPad with exactly the same functionality. The camera app on Android 4.3/4.4 under the 'Sphere mode' can stitch photos from varied directions into one spherical panorama, with very good quality.
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