imageprocessing   3157

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Image segmentation based on Superpixels and Clustering | R-bloggers
In this blog post, I’ll explain the new functionality of the OpenImageR package, SLIC and SLICO superpixels (Simple Linear Iterative Clustering) and their applicability based on an IJSR article. The author of the article uses superpixel (SLIC) and Clustering (Affinity Propagation) to perform image segmentation. The article was reproduced (and extended with Kmeans) using the latest versions of the OpenImageR and ClusterR packages.
rlang  imageProcessing 
4 weeks ago by euler
Open Data Cam : the visual data creator
'Open Data Cam' is a tool that helps to quantify the world. The best thing about it: You can make it yourself! With computer vision 'Open Data Cam' understands and quantifies what it sees. The simple setup allows everybody to become an urban data miner. A Jetson TX2 board running on a graphical processing unit (GPU). The GPU allows it to process many parallel threads at once, perfect for image analysis and video processing
computervision  camera  vision  opensource  sensors  photography  imageprocessing 
6 weeks ago by cyberchucktx
Google AI Blog: See Better and Further with Super Res Zoom on the Pixel 3
The Super Res Zoom technology in Pixel 3 is different and better than any previous digital zoom technique based on upscaling a crop of a single image, because we merge many frames directly onto a higher resolution picture. This results in greatly improved detail that is roughly competitive with the 2x optical zoom lenses on many other smartphones. Super Res Zoom means that if you pinch-zoom before pressing the shutter, you’ll get a lot more details in your picture than if you crop afterwards.
imageProcessing  trend  google  zoom 
6 weeks ago by euler
PhotoScan, Reality Capture, Zephyr Comparison
Olivier Lau shared with us an extensive research on three photogrammetry solutions, (PhotoScan Standard, Reality Capture, and Zephyr Lite), in which he reviewed their peculiarities, the output, time processing, and other important points.

The Goals of the Research

I have been using PhotoScan Standard, Reality Capture (subscription version) and Zephyr Lite over the past few months and wanted to dig into their specificities, determine which solution was appropriate for a particular subject, what type of output quality I could expect and how much time processing would take with my hardware for production of game engine/CG-friendly assets. Reviewing photogrammetry solutions is not an easy task, each software has a specific workflow and items are not always one to one comparable. Result analysis can also be subjective, and even with the same software, an object will be processed better with a specific set of settings while another will require a different setup. Testing various combinations with high-quality settings also takes a significant amount of time, reducing the number of subjects that can be studied. I, however, tried to deduce some peculiarities and behaviors which hopefully can shed some light on the capabilities of each solution for a given situation. Even though solutions may perform differently in certain areas, every software reviewed here is capable of producing excellent results and their capabilities are often complementary.
photogrammetry  imageProcessing  mapping  GIS  digitizing 
7 weeks ago by euler

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