Abstract:
Methods and apparatus to determine nearfield localization using phase and received signal strength indication (RSSI) diversity are disclosed. An example method includes determining a first strength of an electric field and a second strength of a magnetic field, the electric field and the magnetic field associated with an electromagnetic signal sent from a transmitter; determining a difference between the first strength and the second strength; and determining a transmitter distance based on the difference between the first strength and the second strength.
Abstract:
Apparatus and methods for disparity cost computation for a stereoscopic image. In an example, a method includes computing partial path matching costs for multiple disparities of pixels of multiple parallelogram blocks of an image in a forward pass direction. Between computing the partial path matching costs of the pixels of adjacent parallelogram blocks, the method includes computing partial path matching costs for the plurality of disparities of pixels along a boundary edge of a corresponding rectangular tile using paths that are external to the rectangular tile and computing partial path matching costs the disparities for all of the pixels of the corresponding rectangular tile. The method also includes computing total aggregated disparity costs for each disparity of the pixels of the image using the partial path matching costs computed for the pixels in the parallelogram blocks and in the rectangular tiles.
Abstract:
This disclosure describes techniques for performing semi-global matching (SGM) path cost compression. In some examples, the techniques may perform disparity-dependent sub-sampling of a set of SGM path costs where the sub-sampling ratio is determined based on a candidate disparity level. The sub-sampled SGM path costs may be stored in a memory. When retrieved from memory, the sub-sampled SGM path costs may be interpolated to reconstruct the other path costs not stored in the memory. The reconstructed path costs may be used for further SGM processing. In further examples, the techniques may perform disparity-dependent quantization on the SGM path costs or the sub-sampled SGM path costs, and store the quantized SGM path costs in memory. The techniques of this disclosure may reduce bandwidth as well as reduce the memory footprint needed to implement an SGM algorithm.
Abstract:
A method for disparity cost computation for a stereoscopic image is provided that includes computing path matching costs for external paths of at least some boundary pixels of a tile of a base image of the stereoscopic image, wherein a boundary pixel is a pixel at a boundary between the tile and a neighboring tile in the base image, storing the path matching costs for the external paths, computing path matching costs for pixels in the tile, wherein the stored path matching costs for the external paths of the boundary pixels are used in computing some of the path matching costs of some of the pixels in the tile, and computing aggregated disparity costs for the pixels in the tile, wherein the path matching costs computed for each pixel are used to compute the aggregated disparity costs for the pixel.
Abstract:
Various embodiments disclosed herein relate to pixel pattern conversion, and more specifically to using an adaptive filter to convert complex pixel data to non-complex pixel formats. An image processing pipeline is provided herein that comprises an upstream component, a pattern conversion component downstream with respect to the upstream component in the image processing pipeline, and a downstream component relative to the pattern conversion component. The pattern conversion component is configured to obtain RGB-IR pixel data produced by the upstream component of the image processing pipeline, convert the RGB-IR pixel data into RGB pixel data and IR pixel data using an adaptive filter, and supply the RGB pixel data and the IR pixel data to the downstream component of the image processing pipeline.
Abstract:
This disclosure describes techniques for performing semi-global matching (SGM) path cost compression. In some examples, the techniques may perform disparity-dependent sub-sampling of a set of SGM path costs where the sub-sampling ratio is determined based on a candidate disparity level. The sub-sampled SGM path costs may be stored in a memory. When retrieved from memory, the sub-sampled SGM path costs may be interpolated to reconstruct the other path costs not stored in the memory. The reconstructed path costs may be used for further SGM processing. In further examples, the techniques may perform disparity-dependent quantization on the SGM path costs or the sub-sampled SGM path costs, and store the quantized SGM path costs in memory. The techniques of this disclosure may reduce bandwidth as well as reduce the memory footprint needed to implement an SGM algorithm.
Abstract:
Methods and apparatus to determine nearfield localization using phase and received signal strength indication (RSSI) diversity are disclosed. An example method includes determining a first strength of an electric field and a second strength of a magnetic field, the electric field and the magnetic field associated with an electromagnetic signal sent from a transmitter; determining a difference between the first strength and the second strength; and determining a transmitter distance based on the difference between the first strength and the second strength.
Abstract:
Methods and apparatus to determine nearfield localization using phase and received signal strength indication (RSSI) diversity are disclosed. An example method includes determining a first strength of an electric field and a second strength of a magnetic field, the electric field and the magnetic field associated with an electromagnetic signal sent from a transmitter; determining a difference between the first strength and the second strength; and determining a transmitter distance based on the difference between the first strength and the second strength.
Abstract:
Methods and apparatus to determine nearfield localization using phase and received signal strength indication (RSSI) diversity are disclosed. An example method includes determining a first strength of an electric field and a second strength of a magnetic field, the electric field and the magnetic field associated with an electromagnetic signal sent from a transmitter; determining a difference between the first strength and the second strength; and determining a transmitter distance based on the difference between the first strength and the second strength.
Abstract:
A system is provided. The system generally includes a first processor configured to receive image input data from a red-green-blue infrared (RGBIR) sensor. The first processor of the system is configured to generate a first intermediate image data from the image input data. The system generally includes a second processor. The second processor of the system is configured to generate a second intermediate image data that includes red-green-blue (RGB) image data from the first intermediate image data, and to generate a third intermediate image data that includes infrared (IR) image data from the first intermediate image data. The system generally includes a third processor. The third processor of the system is configured to process the third intermediate image data. The system generally includes a fourth processor. The fourth processor of the system is configured to process the second image data.