Tateyama R & D Co., Ltd.

Frank Edughom Ekpar

Shinya Yamauchi

A system permitting one or more users to navigate a wide-angle image, and in particular a panoramic image, using a neural network to correct distortion in that image. To train the neural network, a calibration pattern which defines an array of calibration points is disposed to occupy a field of view of a wide-angle imaging apparatus, and a calibration image is thereby captured by the apparatus. Respective view directions of the calibration points and the positions of these points in the calibration image are used as data for training the neural network to correctly match view directions to corresponding intra-image positions. Subsequently, to generate an undistorted sub-image of an arbitrary distorted wide-angle image, an array of display pixel positions are expressed as a corresponding set of view directions, and the neural network used to convert these to a corresponding set of positions within the wide-angle image, with the video attributes at these positions being then assigned to the corresponding pixels of the sub-image.

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Toyama, Japan

Frank Edughom Ekpar