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公开(公告)号：US20240264308A1
公开(公告)日：2024-08-08
申请号：US18575849
申请日：2022-07-07
发明人： David Mendlovic , Dan Raviv , Lior Gelberg , Khen Cohen , Mor-Avi Azulay , Menahem Koren
CPC分类号： G01S17/89 , G01S7/499 , G06T3/4053
摘要： System and method for imaging a target, the method comprising transmitting a plurality of N pulses of electromagnetic waves to illuminate the target, receiving a pulse of electromagnetic waves that is reflected by the target from each of the transmitted pulses at an imager sensitive to the electromagnetic waves, integrating energy in the plurality of received pulses during a same exposure period of the imager to provide a measure of the integrated energy, and processing the measure of integrated energy to provide N images of the target.
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公开(公告)号：US20240334076A1
公开(公告)日：2024-10-03
申请号：US18709524
申请日：2022-11-14
发明人： David Mendlovic , Dan Raviv , Khen Cohen , Lior Gelberg , Mor-Avi Azulay , Menahem Koren
CPC分类号： H04N25/47 , H04N23/56 , H04N23/74 , H04N23/84 , H04N25/707
摘要： A dynamic vision sensor (DVS) color camera (DVS-CCam) operable to acquire a color image of a scene, the DVS-CCam including a DVS photosensor comprising DVS pixels, an illuminator operable to transmit a light pattern characterized by temporal changes in intensity and color to illuminate a scene, an optical system configured to collect and focus on the pixels of the DVS photosensor light reflected by features in the scene from the light pattern transmitted by the illuminator, and a processor configured to process DVS signals generated by the DVS pixels responsive to temporal changes in the reflected light to provide a color image of the scene.
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公开(公告)号：US20240281642A1
公开(公告)日：2024-08-22
申请号：US18563388
申请日：2022-05-26
发明人： David Mendlovic , Dan Raviv , Lior Gelberg , Khen Cohen , Mor-Avi Azulay , Menahem Koren
IPC分类号： G06N3/0464
CPC分类号： G06N3/0464
摘要： A computer-implemented method of extracting high-frequency features from data, including receiving a first dataset; in a training phase, applying frequency-based guidance to learnable high-frequency filters in a neural network, the frequency based-guidance including promoting high eigenvalues associated with eigenvectors comprising the learnable high-frequency filters; extracting from the first dataset high-frequency features associated with the eigenvectors; and using the trained high-frequency filters to extract high-frequency features from a second dataset.
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公开(公告)号：US20230306094A1
公开(公告)日：2023-09-28
申请号：US18042210
申请日：2021-07-30
发明人： David Mendlovic , Menahem Koren , Lior Gelberg , Khen Cohen , Mor-Avi Azulay , Ohad Volvovitch
CPC分类号： G06F21/32 , G06V40/117 , G06V40/1353 , G06V40/176
摘要： A method of identifying a person, the method comprising: acquiring spatiotemporal data for each of a plurality of anatomical landmarks associated with an activity engaged in by a person that defines a spatiotemporal trajectory of the anatomical landmark during the activity; modeling the acquired spatiotemporal data as a spatiotemporal graph (ST-Graph); and processing the ST-Graph using at least one non-local graph convolution neural network (NLGCN) to provide an identity for the person.
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