Abstract: A method for processing a digital content includes acquiring content data using a sensor. Compressed reference data is generated from the acquired content data. A hash of the compressed reference data is generated using a hashing function. The generated hash is signed using an encryption function. The acquired content data is transmitted along with the compressed reference data and the signed hash.

Abstract: A camera may include an image sensor configured to capture and measure light of a scene to be imaged. Control circuitry may be configured to control the image sensor to measure instances of the light captured in main exposure windows interspersed with test exposure windows. Timing of the main exposure windows may be adjusted based on luminance levels captured during the test exposure windows, for synchronization with a flickering waveform of the light.

Abstract: Methods, apparatuses, and systems are described for positional tracking (PT) in Augmented Reality (AR) applications. The method may include creating different images for AR preview and PT applications. In some cases, the PT information utilizes key point information. The AR preview and the PT images may be generated simultaneously using time division, space division, split timing, or any combination thereof. This may result in PT with significantly less motion blur. Accordingly, the PT will be more robust, and there will be more good frames available for key components of a PT algorithm (i.e., using visual PT to calibrate the biases of an inertial measurement unit). Thus, the methods and apparatus of the present disclosure may enable more effective management of the trade-off between motion-blur, noise and resolution for PT.

Abstract: Methods, apparatuses, and systems are described for positional tracking (PT) in Augmented Reality (AR) applications. The method may include creating different images for AR preview and PT applications. In some cases, the PT information utilizes key point information. The AR preview and the PT images may be generated simultaneously using time division, space division, split timing, or any combination thereof. This may result in PT with significantly less motion blur. Accordingly, the PT will be more robust, and there will be more good frames available for key components of a PT algorithm (i.e., using visual PT to calibrate the biases of an inertial measurement unit). Thus, the methods and apparatus of the present disclosure may enable more effective management of the trade-off between motion-blur, noise and resolution for PT.

Abstract: A camera may include an image sensor configured to capture and measure light of a scene to be imaged. Control circuitry may be configured to control the image sensor to measure instances of the light captured in main exposure windows interspersed with test exposure windows. Timing of the main exposure windows may be adjusted based on luminance levels captured during the test exposure windows, for synchronization with a flickering waveform of the light.

Abstract: Methods, apparatuses, and systems are described for positional tracking (PT) in Augmented Reality (AR) applications. The method may include creating different images for AR preview and PT applications. In some cases, the PT information utilizes key point information. The AR preview and the PT images may be generated simultaneously using time division, space division, split timing, or any combination thereof. This may result in PT with significantly less motion blur. Accordingly, the PT will be more robust, and there will be more good frames available for key components of a PT algorithm (i.e., using visual PT to calibrate the biases of an inertial measurement unit). Thus, the methods and apparatus of the present disclosure may enable more effective management of the trade-off between motion-blur, noise and resolution for PT.

Abstract: Methods, apparatuses, and systems are described for positional tracking (PT) in Augmented Reality (AR) applications. The method may include creating different images for AR preview and PT applications. In some cases, the PT information utilizes key point information. The AR preview and the PT images may be generated simultaneously using time division, space division, split timing, or any combination thereof. This may result in PT with significantly less motion blur. Accordingly, the PT will be more robust, and there will be more good frames available for key components of a PT algorithm (i.e., using visual PT to calibrate the biases of an inertial measurement unit). Thus, the methods and apparatus of the present disclosure may enable more effective management of the trade-off between motion-blur, noise and resolution for PT.

Abstract: A first image and a second image of an object taken with different viewing directions are received. The first image and the second image are downscaled in a ratio of a downscale factor DF to generate a first downscaled image and a second downscaled image, respectively. An edge map is generated by detecting an edge pixel from the first downscaled image. An initial cost volume matrix is generated from the first downscaled image and the second downscaled image according to the edge map. An initial disparity estimate is generated from the initial cost volume matrix. The initial disparity estimate is refined using the initial disparity estimate to generate a final disparity set. A depth map is generated from the first image and the second image using the final disparity set.

Abstract: Embodiments of a virtual frame buffer (VFB) for buffering asynchronous data originating from an imaging source such as a dynamic vision sensor. The VFB may include a hash table memory, a data memory, and a control unit. The control unit receives an input address of an asynchronous data event and determines a pseudo-randomly computed hash of the hash table memory at which to store the input address. The control unit links the hash to a handle corresponding to a data memory cell that stores pixel data of the event. The VFB may interface like a full frame buffer, but use significantly less memory. The VFB may be used with a pixel processing algorithm to search for recent events in a localized environment of a pixel.

Abstract: Embodiments of a virtual frame buffer (VFB) for buffering asynchronous data originating from an imaging source such as a dynamic vision sensor. The VFB may include a hash table memory, a data memory, and a control unit. The control unit receives an input address of an asynchronous data event and determines a pseudo-randomly computed hash of the hash table memory at which to store the input address. The control unit links the hash to a handle corresponding to a data memory cell that stores pixel data of the event. The VFB may interface like a full frame buffer, but use significantly less memory. The VFB may be used with a pixel processing algorithm to search for recent events in a localized environment of a pixel.

Abstract: A first image and a second image of an object taken with different viewing directions are received. The first image and the second image are downscaled in a ratio of a downscale factor DF to generate a first downscaled image and a second downscaled image, respectively. An edge map is generated by detecting an edge pixel from the first downscaled image. An initial cost volume matrix is generated from the first downscaled image and the second downscaled image according to the edge map. An initial disparity estimate is generated from the initial cost volume matrix. The initial disparity estimate is refined using the initial disparity estimate to generate a final disparity set. A depth map is generated from the first image and the second image using the final disparity set.