How old is jon barron

Barron is the Founder and Director of the Baseline of Health Foundation, an online source for natural health and disease prevention. He opened the Foundation in Free to the public, his bi-weekly newsletters serve to de-mystify cutting edge issues in the alternative health industry. He advocates a whole body system approach to health, focused on strengthening the immune system through lifestyle changes and nutritional supplementation.

At age 17, Jon set out to study under some of the most secret healers of the world, and was able to start writing health monographs. In , Team-Up Internationals began adopting his rare formulations into products that were sold around the world. Through newsletters and reports, the Foundation offers impartial commentary on research, product trends, and current events in alternative health.

Color space can be aliased, allowing white balance models to be learned and evaluated in the frequency domain. Mobile phones can take beautiful photographs in low-light or high dynamic range environments by aligning and merging a burst of images. Our solver smooths things better than other filters and faster than other optimization algorithms, and you can backprop through it.

By integrating an edge-aware filter into a convolutional neural network we can learn an edge-detector while improving semantic segmentation. The monocular depth estimates produced by fully convolutional networks can be used to inform intrinsic image estimation. By embedding a stereo optimization problem in "bilateral-space" we can very quickly solve for an edge-aware depth map, letting us render beautiful depth-of-field effects.

This technology is used by the Google Camera "Lens Blur" feature. We present SIRFS , which can estimate shape, chromatic illumination, reflectance, and shading from a single image of an masked object. We present a technique for efficient per-voxel linear classification, which enables accurate and fast semantic segmentation of volumetric Drosophila imagery. Our system allows users to create textured 3D models of themselves in arbitrary poses using only a single 3D sensor. Boundary cues like occlusions and folds can be used for shape reconstruction, which improves object recognition for humans and computers.

We present a large RGB-D dataset of indoor scenes and investigate ways to improve object detection using depth information. A model and feature representation that allows for sub-linear coarse-to-fine semantic segmentation. Markov Decision Problems which lie in a low-dimensional latent space can be decomposed, allowing modified RL algorithms to run orders of magnitude faster in parallel. Using the relative motions of stars we can accurately estimate the date of origin of historical astronomical images.

We use computer vision techniques to identify and remove diffraction spikes and reflection halos in the USNO-B Catalog. Feel free to steal this website's source code , just add a link back to my website.

If you'd like your new page linked to from here, submit a pull request adding yourself. Your browser does not support the video tag. Jon Barron I am a senior staff research scientist at Google Research , where I work on computer vision and machine learning. Research I'm interested in computer vision, machine learning, optimization, and image processing. Barron , Hendrik P. Freeman , Jonathan T. Barron , Ce Liu , Hendrik P.

Barron , Ravi Ramamoorthi , William T. Srinivasan , Richard Tucker, Jonathan T. Barron , Jiawen Chen ICCP , By making one camera in a stereo pair hyperspectral we can multiplex dark flash pairs in space instead of time. Jacobs , Bryan E. This system is the basis for "Portrait Mode" on the Google Pixel 2 smartphones. Barron , Samuel W. This technology is used by Jump. Barron WACV , bibtex Standard techniques for stereo calibration don't work for cheap mobile cameras.

Convolutional Color Constancy Jonathan T. Barron , Trevor Darrell ICCV Workshop , bibtex The monocular depth estimates produced by fully convolutional networks can be used to inform intrinsic image estimation.

This paper subsumes our CVPR paper. Biggin , David W. Barron , Jitendra Malik Technical Report , bibtex A model and feature representation that allows for sub-linear coarse-to-fine semantic segmentation. Parallelizing Reinforcement Learning Jonathan T.

Barron , Dave Golland , Nicholas J. Hay Technical Report , bibtex Markov Decision Problems which lie in a low-dimensional latent space can be decomposed, allowing modified RL algorithms to run orders of magnitude faster in parallel. Barron , David W.