Abstract: A method including generating a plurality of feature maps based on a plurality of images triggered to capture at a same time, the plurality of images having a plurality of view perspectives, generating a layered depth map based on the plurality of feature maps, and generating an image based on the layered depth map and the plurality of images, the image having a view perspective not included in the plurality of view perspectives.

Abstract: An imaging system includes a processor, a memory, a visible light camera configured to record a first image of a scene, and an infrared camera configured to record a second image of the scene. The processor configured to execute instructions stored in the memory to input the first image and the second image into a neural network. The neural network relights the first image, based on characteristics of the second image, to correspond to an image of the scene under canonical illumination conditions.

Abstract: Techniques of estimating surface normals and reflectance from poorly-lit images includes using, in addition to an RGB image of a subject of a set of subjects, an image illuminated with near-infrared (NIR) radiation to determine albedo and surface normal maps for performing an image relighting, the image being captured with the NIR radiation from essentially the same perspective from which the RGB image was captured. In some implementations, a prediction engine takes as input a single RGB image and a single NIR image and estimates surface normals and reflectance from the subject.

Abstract: A method including capturing a first image of a real-world scene by a first camera sensitive to a first spectrum of light, the first camera having a first light source, capturing a second image of the real-world scene by a second camera sensitive to a second spectrum of light, the second camera having a second light source, identifying at least one feature in the first image, identifying, using a machine learning (ML) model, at least one feature in the second image that matches the at least one feature identified in the first image, mapping pixels in the first image and the second image to rays in a three-dimensional (3D) space based on the matched at least one feature, and calibrating the first camera and the second camera based on the mapping.

Abstract: According to an aspect, a real-time active stereo system includes a capture system configured to capture stereo image data, the stereo image data including reference images and secondary images, and a depth sensing computing system configured to generate a depth map, the depth sensing computing system configured to compute descriptors based on the reference images and the secondary images compute a stability penalty based on pixel change information and disparity change information. evaluate a plurality of plane hypotheses for a group of pixels using the descriptors, including compute matching cost between the descriptors associated with each plane hypothesis, update the matching cost with the stability penalty, and select a plane hypothesis from the plurality of plane hypotheses for the group of pixels based on the updated matching cost.

Abstract: Techniques of estimating surface normals and reflectance from poorly-lit images includes using, in addition to an RGB image of a subject of a set of subjects, an image illuminated with near-infrared (NIR) radiation to determine albedo and surface normal maps for performing an image relighting, the image being captured with the NIR radiation from essentially the same perspective from which the RGB image was captured. In some implementations, a prediction engine takes as input a single RGB image and a single NIR image and estimates surface normals and reflectance from the subject.

Abstract: An energy optimized imaging system that includes a light source that has the ability to illuminate specific pixels in a scene, and a sensor that has the ability to capture light with specific pixels of its sensor matrix, temporally synchronized such that the sensor captures light only when the light source is illuminating pixels in the scene.

Abstract: An imaging system includes a processor, a memory, a visible light camera configured to record a first image of a scene, and an infrared camera configured to record a second image of the scene. The processor configured to execute instructions stored in the memory to input the first image and the second image into a neural network. The neural network relights the first image, based on characteristics of the second image, to correspond to an image of the scene under canonical illumination conditions.

Abstract: A method including capturing a first image of a real-world scene by a first camera sensitive to a first spectrum of light, the first camera having a first light source, capturing a second image of the real-world scene by a second camera sensitive to a second spectrum of light, the second camera having a second light source, identifying at least one feature in the first image, identifying, using a machine learning (ML) model, at least one feature in the second image that matches the at least one feature identified in the first image, mapping pixels in the first image and the second image to rays in a three-dimensional (3D) space based on the matched at least one feature, and calibrating the first camera and the second camera based on the mapping.

Abstract: Energy-efficient epipolar imaging is applied to the ToF domain to significantly expand the versatility of ToF sensors. The described system exhibits 15+ m range outdoors in bright sunlight; robustness to global transport effects such as specular and diffuse inter-reflections; interference-free 3D imaging in the presence of many ToF sensors, even when they are all operating at the same optical wavelength and modulation frequency; and blur- and distortion-free 3D video in the presence of severe camera shake. The described embodiments are broadly applicable in consumer and robotics domains.

Abstract: An energy optimized imaging system that includes a light source that has the ability to illuminate specific pixels in a scene, and a sensor that has the ability to capture light with specific pixels of its sensor matrix, temporally synchronized such that the sensor captures light only when the light source is illuminating pixels in the scene.

Abstract: According to an aspect, a real-time active stereo system includes a capture system configured to capture stereo image data, where the image data includes a plurality of pairs of a reference image and a secondary image, and each pair of the plurality of pairs relates a different temporal window. The real-time active stereo system includes a depth sensing computing system including at least one processor and a non-transitory computer-readable medium having executable instructions that when executed by the at least one processor are configured to execute a local stereo reconstruction algorithm configured to compute spacetime descriptors from the plurality of pairs of the stereo image data and generate depth maps based on the spacetime descriptors.

Abstract: According to an aspect, a real-time active stereo system includes a capture system configured to capture stereo image data, where the image data includes a plurality of pairs of a reference image and a secondary image, and each pair of the plurality of pairs relates a different temporal window. The real-time active stereo system includes a depth sensing computing system including at least one processor and a non-transitory computer-readable medium having executable instructions that when executed by the at least one processor are configured to execute a local stereo reconstruction algorithm configured to compute spacetime descriptors from the plurality of pairs of the stereo image data and generate depth maps based on the spacetime descriptors.

Abstract: Energy-efficient epipolar imaging is applied to the ToF domain to significantly expand the versatility of ToF sensors. The described system exhibits 15+ m range outdoors in bright sunlight; robustness to global transport effects such as specular and diffuse inter-reflections; interference-free 3D imaging in the presence of many ToF sensors, even when they are all operating at the same optical wavelength and modulation frequency; and blur- and distortion-free 3D video in the presence of severe camera shake. The described embodiments are broadly applicable in consumer and robotics domains.

Abstract: An energy optimized imaging system that includes a light source that has the ability to illuminate specific pixels in a scene, and a sensor that has the ability to capture light with specific pixels of its sensor matrix, temporally synchronized such that the sensor captures light only when the light source is illuminating pixels in the scene.

Abstract: An energy optimized imaging system that includes a light source that has the ability to illuminate specific pixels in a scene, and a sensor that has the ability to capture light with specific pixels of its sensor matrix, temporally synchronized such that the sensor captures light only when the light source is illuminating pixels in the scene.

Abstract: An energy optimized imaging system that includes a light source that has the ability to illuminate specific pixels in a scene, and a sensor that has the ability to capture light with specific pixels of its sensor matrix, temporally synchronized such that the sensor captures light only when the light source is illuminating pixels in the scene.

Abstract: Methods, systems, and devices are described for commissioning light fixtures. One method may include receiving, at a mobile device, an encoded light signal from a light fixture in a plurality of light fixtures. The encoded light signal may be decoded to obtain an identifier associated with the light fixture, and a correspondence between the identifier and a plurality of locations of the plurality of light fixtures may be determined.

Abstract: Methods, systems, and devices are described for commissioning light fixtures. One method may include receiving, at a mobile device, an encoded light signal from a light fixture in a plurality of light fixtures. The encoded light signal may be decoded to obtain an identifier associated with the light fixture, and a correspondence between the identifier and a plurality of locations of the plurality of light fixtures may be determined.