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Amazing new post-processing video stabilization technique from Microsoft Research

It doesn't just do image processing, but actually computes the trajectory of the camera in post and calculates a shake-free video from that. Really impressive work from Microsoft Research, which they call "Hyperlapse" (because it is a combination of time lapse and hyperpath finding). With a drone, where the path is already known, you could possibly do this in real-time: stabilization without a gimbal.

We present a method for converting first-person videos, for example, captured with a helmet camera during activities such as rock climbing or bicycling, into hyperlapse videos: time-lapse videos with a smoothly moving camera. 

At high speed-up rates, simple frame sub-sampling coupled with existing video stabilization methods does not work, because the erratic camera shake present in first-person videos is amplified by the speed-up. 

Scene Reconstruction Our algorithm first reconstructs the 3D input camera path as well as dense, per-frame proxy geometries. We then optimize a novel camera path for the output video (shown in red) that is smooth and passes near the input cameras while ensuring that the virtual camera looks in directions that can be rendered well from the input. Next, we compute geometric proxies for each input frame. These allow us to render the frames from the novel viewpoints on the optimized path.
Proxy Geometry
Stitched & Blended Finally, we generate the novel smoothed, time-lapse video by rendering, stitching, and blending appropriately selected source frames for each output frame. We present a number of results for challenging videos that cannot be processed using traditional techniques.

We are working hard on making our Hyperlapse algorithm available as a Windows app.
Stay tuned!

Technical paper
PDF (35.0 MB) Supplementary Material
Click here

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Thermal image camera on Kickstarter. (Small, Affordable, Lightweight)

Hema-Imager, accessible thermal imaging for smart devices

The Hema-Imager is an affordable thermal imager that pairs with your smart device to help you diagnose common household problems

The Hema-Imager is a wireless thermopile-based imaging device that is not only compatible with nearly any smart device but has better temperature accuracy (0.2F), wider temperature range (-50F - 450F) and better sensor angular resolution (0.61 angular degrees) than the closest affordable competition. Our apps can be used to display and store thermal images only or to display and store combined thermal and optical camera images, with adjustable thresholds and colormaps.

A few key elements of the Hema-Imager require further development (listed below in Development Timeline). The hardware, including electronics, case and firmware, is developed, with a manufacturing plan in place. A beta version of the Android and alpha version of the iOS application software have been developed and are being tested, but require further development for consumers.

Product Specs:

64x62 thermopile array with integrated optics.  Best sensor resolution at this price at 0.61 degree angular resolution No non-uniformity correction needed with thermopile technology Frame rate up to the ITAR-TASS regulations limit of 9 frames per second to any fully Bluetooth- or WiFi-capable device. Low power consumption and 850 mAhr battery provides up to 8 hours of continuous use without charging, or over a month if just using for 10 minutes daily. Android application for smartphone or tablet iOS application for iPhone and iPad Python & OpenCV application for windows & linux desktop App or button-driven laser pointer and online temperature display aligned to center of field of view with 0.2 deg Fahrenheit accuracy Thermal measurement range: -50F to 450F


Use with any smart device (see Attachment and Thermal-to-camera calibration) Stores securely in an ultralow power mode, wakes up with a single button press Quick-connect with your smartphone or computer within seconds Store thermal images with various colormaps or transparent overlay on camera images Store video stream of either thermal or transparent overlay on camera video Can be used at up to 20m (Bluetooth) or 100m (WiFi) distance from your smartphone or computer Standby alarm mode: set it up on a scene, capture, then set an alarm on a selected feature and walk away

Link to Kickstarter Project

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Brushless gimbal to shoot 360° video

New 6x+1(top) GoPro3  gimbal for 360deg video...
Mount without any dampers.
Flight controller: acFC5.1SE
N-axis Gimbal controller: acCC 2.1
Gimbal software: v2.0

Experiments continue ...
Results will soon be available here: http://www.airpano.ru/360-videos.php


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Sense and Avoid Explained

With the recent addition of ADSB support in Mission Planner and the discussion about feeding data from a drone into a 'national feed' there has been much excitement about the possibilities in the future.

This video is a great explanation about the challenges we face with sense and avoid using existing technology and then also goes into some exciting research that the author Bruce Simpson is working on involving passive radar technology.

Bruce has been in the UAV game for a long time and while I am not affiliated with him in any way, his material and youtube reviews are very interesting.

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Ublox Neo-7M GPS with Compass and Pedestal Mount

HK NEO-7M GPS with compass for around $33.



• uBlox Neo-7M module
• 56-channel 
• Galileo E1B/C
• 10Hz update rate
• 25x25x2 Ceramic patch antenna
• Rechargeable 3V Backup battery
• Low noise 3.3V regulator
• I2C EEPROM storage
• Power and fix LED’s
• Pedestal Mount/Case
• Pixhawk/PX4 compatible
• Pre-configured 38,400 Baud and prams 

Size: 60x11.5mm
Mount: 140mm length
Cable length: 200mm
Weight: 26g
Connection: Compass 4 pin/ GPS 6 pin (Pixhawk/PX4 compatible)

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