View allAll Photos Tagged ComputerVision
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Testing camshift as a method for recovering face orientation. Unfortunately it depends on too much calibration, and video sequences rather than still images.
By Kyle McDonald and Jonas Jongejan at Day For Night 2017 in Houston, Texas. Photo by Sara Marjorie Strick.
San Francisco, CA. CVPR: The twenty-third IEEE Conference on Computer Vision and Pattern Recognition
My final computer vision presentation for tomorrow. It's on automatically tagging friends in Facebook photos using face recognition. I'm hoping the inclusion of beautiful drunk Facebook girls will allow my very pathetic results to slip away unnoticed. :-)
I have taken to using old pictures that I have for PowerPoint backgrounds. This one should be familiar to some of you. I still don't know what joka paiva means though.
There are a lot of Priuses in Mountain View, but not many of them have laser rangefinders. This is a computer-controlled, self driving vehicle. I've never seen one up close before.
The 6R4 was a joint venture between Austin Rover and Williams Grand Prix Engineering. The 6R4 was a 4x4 Group B rally car which achieved considerable success in the British rally Championship.
Two hundred examples were built, and with 60 MPH arriving in 4.3 seconds, it is not uncommon to see these
incredible cars competing in Rallycross events to this day.
Afgangsprojekt i interaktionsdesign
Genskabe tredimensionelle rum og objekter på basis af todimensionelle fotografier ved hjælp af computervision.
Skabelse af open source software-løsning, som kan anvendes af alle med et almindeligt digitalt kamera og automatisk skabe tredimensionelle modeller ved hjælp af en computer og de indfangede todimensionelle billeder.
This course starts with the basic steps of digitizing images, sampling them, and compressing them, it then covers various methods to work with images including classification, identification, detection, etc. Get the basics and advanced concepts about the Computer Vision course with a free Certificate.
www.greatlearning.in/academy/learn-for-free/courses/compu...
Longevity of light bulbs (and how to make them last longer)
Electroacoustic interactive performance
Stefano D'Alessio
Vienna 2016
Longevity of light bulbs fuses natural and processed sound with physical movement and dynamic light.
The performance proposes a DIY way of music making, focusing on low budget items hacking, creative use of new technologies designing alternative interfaces for sound creation.
Resembling of a solo concert piece, L.O.L.B. has as its core an amplified ikea desk lamp, explored in all its sonorities by one performer playing it with bare hands.
An important characteristic of the lamp is that it can be easily moved, this mobility amplifies the physical performance and modifies the original sound, thanks to a custom made interface and digital audio processing.
The interface between the lamp movement and the sound manipulation, is ideated hypothesising how a “natural” sound would behave, taking advantage of the possibilities of digital audio but bringing them out of the computer, interfacing them with something more physical and “primitive” than a controller fader or a mouse.
The focus is to magnify how the sound processing is controlled, transforming unperceivable digits unseeable to human eyes, into visible performative actions.
The spatial position of the light source is tracked by a camera and translated into parameters usable by the audio engine, naturally connecting the lamp movement to the behaviour of its sound transformations.
The final audio, even when processed, has tones which are close to the natural ones, as the audio processes basically consist in different applications audio delay, meaning that there is no synthesised sound or recorded sample added to the final output.
The only light source present in the performance is the lamp’s light bulb itself. Meaning that the moving lamp is, beside changing its own sound, acting as a dynamic lighting device. It points and looks in different direction, behaving like a curious creature, illuminating different part of the environment, scanning through the audience and sometimes blinding the people.
The result is a performance and electroacoustic piece, where natural and artificial tones fuse seamlessly, symbiotically combined with light, developing in time with movements of the performer and its instrument.
From left, Associate Professor of Electrical Engineering and Computer Science Alanson Sample, and PhD student Yasha Iravanchi examine their prototype PrivacyLens in the Interactive Sensing and Computing Lab at the Bob and Betty Beyster Building, on the North Campus of the University of Michigan in Ann Arbor on Tuesday, July 9, 2024. The ISC is part of the Human Centered Computing Laboratory.
This phototype camera, called PrivacyLens, was designed by Yasha Iravantchi, a doctoral student of computer science and engineering, and Alanson Sample, an associate professor of computer science and engineering, to protect people's privacy in devices that use cameras for sensing. Such devices, including roombas, automated vehicles, and home assistant technologies, such as Alexa, use cameras to avoid collisions or monitor health, fitness, and activity in the home. Those same cameras increase the risk of sensitive, personal information leaking on the internet. PrivacyLens replaces humans with stick figures in the recorded images, so that the devices can register that people are present without putting an individual's privacy at risk.
Photo: Brenda Ahearn/University of Michigan, College of Engineering, Communications and Marketing