UW-Madison researchers have created new learning-based compressive spatio-temporal histograms for high-resolution single-photon 3d cameras. They created a family of compressive representations for his...
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UW-Madison researchers have created methods that enable photon data captured by single-photon detectors, called single-photon avalanche diodes (SPADs), to emulate a wide range of imaging modalities su...
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UW researchers created a system comprised of single-photon detectors, such as single-photon avalanche diodes (SPADs), along with high-speed projectors that use digital micromirror devices (DMDs) for d...
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UW-Madison researchers have created computationally light-weight phase-based techniques for low-level vision tasks such as edge detection and motion estimation, which extract scene information directl...
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UW researchers have developed a novel technique that compensates for motion between high-noise frames using a recurrent convolutional neural network. Existing work uses convolutional neural networks (...
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UW-Madison researchers and collaborators have created a computational imaging framework called photon inhibition to make single-photon cameras (SPCs) energy efficient. Photon inhibition strategically ...
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UW-Madison researchers have created generalized event cameras that use event streams to inherently preserve scene intensity without added hardware complexity. These generalized event cameras use an in...
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UW-Madison researchers have created a method capable of estimating extreme scene motion under challenging conditions, such as low light or high dynamic range, from a sequence of high-speed image frame...
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UW-Madison researchers have developed a photon processing method that enables reliable scene property estimation over a wide range of operating conditions while requiring no training and remaining agn...
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UW-Madison researchers have created an event neural network system and associated methods, comprising a family of neural networks in which neurons transmit (thereby triggering downstream computation) ...
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UW researchers have developed a system for high dynamic range imaging using single-photon and conventional image sensor data. This uses a learning-based, sensor-fusion approach to achieve the extreme ...
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UW-Madison researchers have developed a method that dynamically changes exposure times on a per pixel basis in response to changes in the scene. The method relies on taking a series of images, then (o...
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UW-Madison researchers have a computer vision method utilizing spiking neural networks that provides accuracy but does not trade-off latency or power consumption. In recent years, improvements in comp...
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In accordance with some embodiments, systems, methods and media for encoding and decoding signals used in time-of-flight imaging are provided. In some embodiments, a method for estimating the depth of...
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A monitoring system may include an input port, an output port, and a controller in communication with the input port and the output port. The input port may receive video from an image capturing devic...
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A monitoring system or tracking system may include an input port and a controller in communication with the input port. The input port may receive video from an image capturing device. The image captu...
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In accordance with some embodiments, systems, methods and media for encoding and decoding signals used in time-of-flight imaging are provided. In some embodiments, a method for estimating the depth of...
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A monitoring system or tracking system may include an input port and a controller in communication with the input port. The input port may receive video from one or more image capturing devices. The i...
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In accordance with some embodiments, systems, methods and media for encoding structured light imaging patterns and estimating depths in a scene are provided. In some embodiments, a system for estimati...
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In accordance with some embodiments, methods, systems, and media for detecting the presence of are provided. In some embodiments, a method of detecting an analyte is provided, the method comprising: c...
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A system and method for automatically generating split screen for a video of a dynamic scene is disclosed. The system generates the split screen by (a) obtaining the video of the dynamic scene, (b) de...
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In accordance with some aspects, systems, methods and media for hierarchical progressive point cloud rendering are provided. In some aspects, a method for point cloud rendering is provided, the method...
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An architecture for training the weights of artificial neural networks provides a global constrainer modifying the neuron weights in each iteration not only by the back-propagated error but also by a ...
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In accordance with some embodiments, systems, methods and media for determining object motion in three dimensions using light field image data are provided. In some embodiments, a system for three dim...
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A neural net processor provides twin processing paths trainable using different moments of the input data, one moment providing a proxy for uncertainty. Subsequent operation of the trained neural net ...
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