MACHINE LEARNING-BASED 2D STRUCTURED IMAGE GENERATION

    公开(公告)号:US20230126800A1

    公开(公告)日:2023-04-27

    申请号:US18087809

    申请日:2022-12-23

    发明人: Shuo Chen Denis Rogic

    摘要: Techniques are described for a multiple-phase process that uses machine learning (ML) models to produce a texturized version of an input image. During a first phase, using a pix2pix-based ML model, an automatically-generated image that depicts structured texture is generated based on an input image that visually identifies a plurality of image areas for the structured texture. During a second phase, a neural style transfer-based ML model is used to apply the style of a style image (e.g., a target image from the training dataset of the pix2pix-based ML model) to the texture image generated at the first phase (the content image) to produce a modified texture image. According to an embodiment, during a third phase, the generated texture image produced at the first phase and the modified texture image produced at the second phase are combined to produce a structured texture image with a moderated amount of detail.

    Surface imaging using high incident angle of light rays

    公开(公告)号:US11636591B2

    公开(公告)日:2023-04-25

    申请号:US16904928

    申请日:2020-06-18

    摘要: A plurality of light sources placed at one end of a surface imaging system may generate and direct light rays to be incident onto a surface to be detected at high incident angles that are greater than or equal to a predetermined angle threshold, the predetermined angle threshold may be set to ensure that images of the surface to be detected that have at least a predetermined degree of contrast are to be obtained. An image sensor that is placed at another end of the surface imaging system may collect light rays reflected from the surface to be detected to form a first image of the surface to be detected.

    Image processing apparatus, method of controlling image processing apparatus, and storage medium

    公开(公告)号:US11361448B2

    公开(公告)日:2022-06-14

    申请号:US16554712

    申请日:2019-08-29

    摘要: Provided is an image processing apparatus comprising: one or more memories that store a set of instructions; and one or more processors that execute the instructions to obtain a plurality of inputted images that are contiguously captured, perform determination of a first region based on the obtained inputted images, the first region being formed from pixels each having a change in pixel value below a predetermined threshold in a predetermined period, the determination being performed in each of a plurality of the continuous predetermined periods, determine a second region based on a plurality of the first regions determined in the plurality of the continuous predetermined periods, respectively, determine a third region by subjecting image data representing the determined second region to image processing, and update a background image based on the obtained inputted images and any of the determined third region.

    HYBRID PHOTOGRAMMETRY
    6.
    发明申请

    公开(公告)号:US20220130112A1

    公开(公告)日:2022-04-28

    申请号:US17449127

    申请日:2021-09-28

    摘要: A method for determining three-dimensional (3D) coordinates of an object surface with a 3D measuring device includes forming from the determined 3D coordinates a mesh having a first face, constructing a voxel array aligned to the first face, obtaining a plurality of images from a first camera having a corresponding plurality of poses, obtaining for each voxel in the voxel array a plurality of voxel values obtained from the corresponding plurality of images, determining for each voxel row a quality value determined based at least in part on an average value of a first quantity and a dispersion of the first quantity, the first quantity based at least in part on first voxel values determined as a function of pose, and determining a distance from a point on the first face to the object surface based at least in part on the determined quality values for the voxel rows.

    Method for Emulating Defocus of Sharp Rendered Images

    公开(公告)号:US20220076437A1

    公开(公告)日:2022-03-10

    申请号:US17086032

    申请日:2020-10-30

    发明人: Peter Hillman

    摘要: Methods and systems for defocusing a rendered computer-generated image are presented. Pixel values for a pixel array are determined from a scene description. A blur amount for each pixel is determined based on a lens function representing a lens shape and/or effect. A blur amount and blur transparency value are determined for the pixel based on the lens function and pixel depth. A convolution range comprising pixels adjacent to the pixel is determined based on the blur amount. A blend color value is determined for the pixel based on the color value of the pixel, color values of pixels in the convolution range, and the blur transparency value. The blend color value is scaled based on the blend color value and a modified pixel color value is determined from scaled blend color values.

    3D DATASET GENERATION FOR NEURAL NETWORK MODEL TRAINING

    公开(公告)号:US20210304516A1

    公开(公告)日:2021-09-30

    申请号:US17154827

    申请日:2021-01-21

    申请人: SONY CORPORATION

    摘要: An electronic device receives a set of 2D images comprising at least first 2D image of an object of interest and detects a plurality of 2D landmarks on the first 2D image. The detected plurality of 2D landmarks corresponds to shape-features of the object of interest. The electronic device aligns a first three-dimensional (3D) shape model of a reference object by fitting 2D landmarks of the first 3D shape model to the detected plurality of 2D landmarks. The electronic device estimates texture mapping information between the object of interest and the aligned first 3D shape model and generates a dataset by including the first 2D image, the aligned first 3D shape model, and the estimated texture mapping information as a first sample of the dataset. Based on the generated dataset, the electronic device trains a neural network model on a task of 3D reconstruction from a single 2D image.

    METHOD FOR EVALUATING SENSOR DATA, INCLUDING EXPANDED OBJECT RECOGNITION

    公开(公告)号:US20210303879A1

    公开(公告)日:2021-09-30

    申请号:US17265437

    申请日:2019-09-02

    申请人: Robert Bosch GmbH

    摘要: A method for evaluating sensor data. The sensor data are ascertained by scanning a surrounding area, using at least one sensor. On the basis of the sensor data, object detection is carried out for determining objects from the sensor data. Object filtering is carried out. Surface characteristics of at least one object are identified, and/or the surface characteristics of at least one object are ascertained with the aid of access to a database. A control unit is also described.