IMAGE PROCESSING APPARATUS, IMAGE READING DEVICE, IMAGE FORMING APPARATUS, AND IMAGE PROCESSING METHOD

    公开(公告)号:US20240354961A1

    公开(公告)日:2024-10-24

    申请号:US18630133

    申请日:2024-04-09

    Applicant: Taku Kodama

    Inventor: Taku Kodama

    CPC classification number: G06T7/13 G06V10/44

    Abstract: An image processing apparatus is to: detect a first edge point group comprising a set of edge points between a document background area and a document area in a read image of a document; calculate feature amounts from a plurality of edge points in the first edge point group and compose an edge point feature amount group; calculate a distribution of the feature amounts of the plurality of edge points from the edge point feature amount group and calculate a feature amount corresponding to a maximum distribution; select edge points corresponding to the maximum distribution from the first edge point group and select a second edge point group using a range of the feature amount corresponding to the maximum distribution; and calculate an edge straight line approximating the second edge point group.

    Noise-free differentiable ray casting

    公开(公告)号:US12112422B2

    公开(公告)日:2024-10-08

    申请号:US17840791

    申请日:2022-06-15

    CPC classification number: G06T15/06 G06T7/13 G06T15/005

    Abstract: A differentiable ray casting technique may be applied to a model of a three-dimensional (3D) scene (scene includes lighting configuration) or object to optimize one or more parameters of the model. The one or more parameters define geometry (topology and shape), materials, and lighting configuration (e.g., environment map, a high-resolution texture that represents the light coming from all directions in a sphere) for the model. Visibility is computed in 3D space by casting at least two rays from each ray origin (where the two rays define a ray cone). The model is rendered to produce a model image that may be compared with a reference image (or photograph) of a reference 3D scene to compute image space differences. Visibility gradients in 3D space are computed and backpropagated through the computations to reduce differences between the model image and the reference image.

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