imageprocessing   3106

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Instant 3D Photography
We present an algorithm for constructing 3D panoramas from a sequence of aligned color-and-depth image pairs. Such sequences can be conveniently captured using dual lens cell phone cameras that reconstruct depth maps from synchronized stereo image capture. Due to the small baseline and resulting triangulation error the depth maps are considerably degraded and contain low-frequency error, which prevents alignment using simple global transformations. We propose a novel optimization that jointly estimates the camera poses as well as spatially-varying adjustment maps that are applied to deform the depth maps and bring them into good alignment. When fusing the aligned images into a seamless mosaic we utilize a carefully designed data term and the high quality of our depth alignment to achieve two orders of magnitude speedup w.r.t. previous solutions that rely on discrete optimization by removing the need for label smoothness optimization. Our algorithm processes about one input image per second, resulting in an endto- end runtime of about one minute for mid-sized panoramas. The final 3D panoramas are highly detailed and can be viewed with binocular and head motion parallax in VR.
imageProcessing  3d  photography 
7 days ago by euler
Nearly two decades of revealing satellite images now available at your fingertips - ImaGeo
The longest continuous daily satellite observation record of Earth ever compiled is now available for all of us to peruse. All you need is access to a computer.

Multiple instruments aboard NASA’s Terra and Aqua satellites, launched in 1999 and 2002, respectively, have kept close watch on the virtually the entire planet for nearly 20 years. Now, for the first time, the entire treasure trove of imagery and scientific information is available for exploration in Worldview, an engaging, interactive web-based application.

I’ve been using Worldview regularly to find imagery for use here at ImaGeo since I launched the blog in 2013. But until now, there was a significant limitation: The data available went back only to 2012. Now, after more than five years of work, NASA has extended what’s available on Worldview back to the year 2000, when the Terra satellite first became operational.
gis  mapping  imageProcessing 
8 days ago by euler
Tensorflow Object Detection API @ GITHUB
Creating accurate machine learning models capable of localizing and identifying multiple objects in a single image remains a core challenge in computer vision. The TensorFlow Object Detection API is an open source framework built on top of TensorFlow that makes it easy to construct, train and deploy object detection models. At Google we’ve certainly found this codebase to be useful for our computer vision needs, and we hope that you will as well.
github  tensorflow  google  objectrecognition  recognition  imageprocessing  neuralnetwork 
26 days ago by cyberchucktx
Using TensorFlow To Recognize Your Own Objects | Hackaday
When the time comes to add an object recognizer to your hack, all you need do is choose from many of the available ones and retrain it for your particular objects of interest. To help with that, [Edje Electronics] has put together a step-by-step guide to using TensorFlow to retrain Google’s Inception object recognizer.
hackaday  imageprocessing  deeplearning  tensorflow  google  artificialintelligence  streamwerks 
26 days ago by cyberchucktx
An OpenCV barcode and QR code scanner with ZBar - PyImageSearch
However, what OpenCV can do is facilitate the process of reading barcodes and QR codes, including loading an image from disk, grabbing a new frame from a video stream, and processing it.

Once we have the image or frame we can then pass it to a dedicated Python barcode decoding library such as a Zbar.
opencv  vision  imageprocessing  python  embedded 
29 days ago by cyberchucktx
HDR is less confusing—and even geekier—when broken down by detailed heatmaps | Ars Technica
A thread on the renowned gaming forum ResetERA appeared on Thursday with a huge swath of heatmap images from modern HDR-compatible games, all posted by a user with the handle EvilBoris. And as he explains to Ars Technica, these images came about simply out of curiosity.
imageProcessing  photography  HDR 
4 weeks ago by euler
GitHub - hyperspy/hyperspy-demos: HyperSpy IPython Notebooks demos

This repository contains Jupyter Notebooks to demo and learn how to process multi-dimensional data with HyperSpy. For learning purposes, we recommend to use them alongside the HyperSpy User Guide.

The root folder contains notebooks concerning general HyperSpy features while the subfolders contain notebooks for specific signals and other more specialized analyses.
jupyter  hyperspectral  imageProcessing 
4 weeks ago by euler
A Novel Framework for Interactive Visualization and Analysis of Hyperspectral Image Data

Multispectral and hyperspectral images are well established in various fields of application like remote sensing, astronomy, and microscopic spectroscopy. In recent years, the availability of new sensor designs, more powerful processors, and high-capacity storage further opened this imaging modality to a wider array of applications like medical diagnosis, agriculture, and cultural heritage. This necessitates new tools that allow general analysis of the image data and are intuitive to users who are new to hyperspectral imaging. We introduce a novel framework that bundles new interactive visualization techniques with powerful algorithms and is accessible through an efficient and intuitive graphical user interface. We visualize the spectral distribution of an image via parallel coordinates with a strong link to traditional visualization techniques, enabling new paradigms in hyperspectral image analysis that focus on interactive raw data exploration. We combine novel methods for supervised segmentation, global clustering, and nonlinear false-color coding to assist in the visual inspection. Our framework coined Gerbil is open source and highly modular, building on established methods and being easily extensible for application-specific needs. It satisfies the need for a general, consistent software framework that tightly integrates analysis algorithms with an intuitive, modern interface to the raw image data and algorithmic results. Gerbil finds its worldwide use in academia and industry alike with several thousand downloads originating from 45 countries.
imageProcessing  hyperspectral 
4 weeks ago by euler
Redefining how you ‘look’ at a hyperspectral image
With the powerful interactive visualization techniques in the Gerbil software, you can finally explore the raw data of your multispectral/hyperspectral image in an intuitive way. Gerbil’s rich set of algorithms including feature space transformations, dimensionality reduction, segmentation and material clustering make it the first choice for many analysis tasks.

See in the video below how a multispectral image can be visually explored in five minutes.
imageProcessing  hyperspectral 
4 weeks ago by euler
Amazon Rekognition w/AWS: Deep learning-based image and video analysis
Amazon Rekognition makes it easy to add image and video analysis to your applications. You just provide an image or video to the Rekognition API, and the service can identify the objects, people, text, scenes, and activities, as well as detect any inappropriate content. Amazon Rekognition also provides highly accurate facial analysis and facial recognition. You can detect, analyze, and compare faces for a wide variety of user verification, cataloging, people counting, and public safety use cases.
image  ai  amazon  api  cloud  aws  artificialintelligence  deeplearning  imageprocessing 
4 weeks ago by cyberchucktx
Random Renegade Bits > Solved: GIMP Script-Fu Console Image ID |
<code class="language-scheme">(script-fu-round-corners 1 (car (gimp-image-get-active-drawable 1)) 30 1 6 6 20 1 0)</code>
script-fu  gimp  scripting  imageprocessing  howto  solution 
4 weeks ago by kme

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