Nextvpu (shanghai) Co., Ltd.

Other

Shu Fang

Ji Zhou

Xinpeng Feng

Travis Tu

An image depth determining method and a living body identification method, a circuit, a device, and a medium. The image depth determining method includes obtaining pixel coordinates of a feature point pair associated with an object point on a subject, determining a first straight line passing through the origin of a first camera coordinate system of a first camera based on first pixel coordinates and intrinsic parameters of the first camera, determining a second straight line passing through the origin of a second camera coordinate system of a second camera based on second pixel coordinates and intrinsic parameters of the second camera, and determining the depth of the object point based on the first straight line, the second straight line, and extrinsic parameters describing a relative position relationship between the first camera and the second camera.

Image depth determining method and living body identification method, circuit, device, and medium

A disparity estimation method, an electronic device, and a computer-readable storage medium are provided. The disparity estimation method includes: performing feature extraction on each image in an image pair; and performing cascaded multi-stage disparity processing according to the extracted image features to obtain multiple disparity maps with increasing sizes. The input of a first stage disparity processing in the multi-stage disparity processing includes multiple image features each having a size corresponding to the first stage disparity processing, and the input of disparity processing of each stage other than the first stage disparity processing in the multi-stage disparity processing includes: one or more image features each having a size corresponding to disparity processing of the stage and a disparity map generated by disparity processing of an immediate previous stage.

Disparity estimation

A disparity determining method, an electronic device, and a computer-readable storage medium are provided. The disparity determining method includes: downsampling a first image and a second image, to obtain a first image with a first size and a second image with the first size; performing first-stage disparity computation on the first image with the first size and the second image with the first size, to obtain a first disparity map with the first size; and performing second-stage disparity computation on a first image with a second size and a second image with the second size based on an upsampled disparity map, with the second size, of the first disparity map, to obtain a second disparity map with the second size.

Determination of disparity

Apparatus and methods to compensate hard iron and soft iron magnetic interference in magnetic sensing devices are described. Hard and soft iron interference may be modeled using an ellipsoidal surface generated by a plurality of magnetic field measurements. A displacement of the ellipsoid from a reference frame origin corresponds to hard iron or permanent magnetic field interference. A shape and orientation of the ellipsoid corresponds to soft iron magnetic field interference. The ellipsoidal surface may be analyzed to obtain magnetic field compensation values for cancelling hard iron and soft iron interference.

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Shanghai, China

Shu Fang