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Always-on Computer Vision Module Research Project | Qualcomm
We have pioneered a Computer Vision Module (CVM) which can be integrated into a wide variety of battery-powered and line-powered devices, performing object detection, feature recognition, change/motion detection, and other applications. Our CVM contains a lens, a Complementary Metal–oxide Semiconductor (CMOS) image sensor, and a digital processor engine which performs 100% embedded processing within the module itself and outputs post-processed CV metadata (not an image) to a main processor via an SPI interface.
computer-vision  camera  image-processing  embedded 
10 days ago by ssorc
Medical Imaging AI Software Is Vulnerable to Covert Attacks - IEEE Spectrum
Artificial intelligence systems meant to analyze medical images are vulnerable to attacks designed to fool them in ways that are imperceptible to humans, a new study warns.
ai  medicine  image-processing  research 
15 days ago by ssorc
cimalab unal
CIM@LAB (Computer Imaging and Medical Applications Laboratory) es un gupo interdisciplinar dedicado a resolver problemas médicos combinando técnicas de visión artificial y aprendizaje de máquina.
research  image-processing  machine-learning 
4 weeks ago by agmarrugo
Images of the eye are key in several computer vision problems, such as shape registration and gaze estimation. Recent large-scale supervised methods for these problems require time-consuming data collection and manual annotation, which can be unreliable. We propose synthesizing perfectly labelled photo-realistic training data in a fraction of the time. We used computer graphics techniques to build a collection of dynamic eye-region models from head scan geometry. These were randomly ...
machine-learning  facebook  facial-recognition  image-processing  cv  puns 
5 weeks ago by casey.chow
Press Announcements > FDA permits marketing of artificial intelligence-based device to detect certain diabetes-related eye problems
FDA permits marketing of artificial intelligence-based device to detect certain diabetes-related eye problems
fda  medicine  ai  image-processing  software 
6 weeks ago by ssorc
Learning to See in the Dark
Imaging in low light is challenging due to low photon count and low SNR. Short-exposure images suffer from noise, while long exposure can lead to blurry images and is often impractical. A variety of denoising, deblurring, and enhancement techniques have been proposed, but their effectiveness is limited in extreme conditions, such as video-rate imaging at night. To support the development of learning-based pipelines for low-light image processing, we introduce a dataset of raw short-exposure night-time images, with corresponding long-exposure reference images. Using the presented dataset, we develop a pipeline for processing low-light images, based on end-to-end training of a fully-convolutional network. The network operates directly on raw sensor data and replaces much of the traditional image processing pipeline, which tends to perform poorly on such data. We report promising results on the new dataset, analyze factors that affect performance, and highlight opportunities for future work.
camera  photography  image-processing  neuralnetworks  ai 
6 weeks ago by ssorc
(122) Lecture Collection | Convolutional Neural Networks for Visual Recognition (Spring 2017) - YouTube - YouTube
Computer Vision has become ubiquitous in our society, with applications in search, image understanding, apps, mapping, medicine, drones, and self-driving car...
machine-learning  deep-learning  object-recognition  image-processing  neural-network 
6 weeks ago by hschilling

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