Jason Holloway

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Video cameras are invariably bandwidth limited and this results in a trade-off between spatial and temporal resolution. Advances in sensor manufacturing technology have tremendously increased the available spatial resolution of modern cameras while simultaneously lowering the costs of these sensors. In stark contrast, hardware improvements in temporal(More)
We present a prototype compressive video camera that encodes scene movement using a translated binary photomask in the optical path. The encoded recording can then be used to reconstruct multiple output frames from each captured image, effectively synthesizing high speed video. The use of a printed binary mask allows reconstruction at higher spatial(More)
Screen-to-camera visible-light communication links are fundamentally limited by inter-symbol interference, in which the camera receives multiple overlapping symbols in a single capture exposure. By determining interference constraints, we are able to decode symbols with multi-bit depth across all three color channels. We present Styrofoam, a coding scheme(More)
—In this work, we propose using camera arrays coupled with coherent illumination as an effective method of improving spatial resolution in long distance images by a factor of ten and beyond. Recent advances in ptychography have demonstrated that one can image beyond the diffraction limit of the objective lens in a microscope. We demonstrate a similar(More)
One popular technique for multimodal imaging is generalized assorted pixels (GAP), where an assorted pixel array on the image sensor allows for multimodal capture. Unfortunately, GAP is limited in its applicability because of the need for multimodal filters that are amenable with semiconductor fabrication processes and results in a fixed multimodal imaging(More)
SocialSync is a sub-frame synchronization protocol for capturing images simultaneously using a smartphone camera network. By synchronizing image captures to within a frame period, multiple smart-phone cameras, which are often in use in social settings, can be used for a variety of applications including light field capture, depth estimation, and free(More)
  • Lisa Wisner-Slivka, Benjamin Slivka, Junior, Oliver Cossairt, Joshua Napoli, Rick Dorval +37 others
  • 2015
1. Introduction to Computational Photography – Designed course where students write programs on Nokia n900 phones using FCam API to control focus, flash, exposure, etc. Course teaches principles of computer vision and computational photography through a series of hands on projects.
A tenet of object classification is that accuracy improves with an increasing number (and variety) of spectral channels available to the classifier. Hyperspectral images provide hundreds of narrowband measurements over a wide spectral range, and offer superior classification performance over color images. However, hyperspectral data is highly redundant. In(More)
Screen-to-camera visible-light communication links are fundamentally limited by inter-symbol interference, in which the camera receives multiple overlapping symbols in a single capture exposure. By determining interference constraints, we are able to decode symbols with multi-bit depth across all three color channels. We present Styrofoam, a coding scheme(More)
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