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)
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 often 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 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)
Classical optical flow techniques were developed for computing virtual motion fields between two images of the same scene, assuming conservation of intensity and a smoothness of the flow field. If these assumptions are dropped, such techniques can be adapted to compute apparent flows between time snapshots of data that do not come from images, even if these(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)
The following section provides high level framework implementation supplementing those described in Sec. 3 Camera Characterization of [1]. Our implementation uses client devices consisting of the HTC One (M7) and Nexus 5 running Android OS 4.3 and 4.4. The communication server is a Windows 7 laptop running a web service powered by Play! framework. The time(More)
Time-of-flight (ToF) imaging is an active method that utilizes a temporally modulated light source and a correlation-based (or lock-in) imager that computes the round-trip travel time from source to scene and back. Much like conventional imaging ToF cameras suffer from the trade-off between depth of field (DOF) and light throughput-larger apertures allow(More)
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)
Classical optical flow techniques were developed for computing virtual motion fields between two images of the same scene, assuming conservation of intensity and a smoothness of the flow field. If these assumptions are dropped, similar techniques can be used to compute apparent flows between time snapshots of data that do not come from images, even if these(More)
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