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公开(公告)号:US20240096020A1
公开(公告)日:2024-03-21
申请号:US18468162
申请日:2023-09-15
Inventor: Jung Jae YU , Jae Hwan KIM , Ju Won LEE , Won Young YOO
Abstract: A method of generating a moving viewpoint motion picture, which is performed by a processor that executes at least one instruction stored in a memory, may comprise: obtaining an input image; generating a trimap from the input image; generating a depth map using the input image; generating a foreground mesh/texture map model based on a foreground alpha map obtained based on the trimap and foreground depth information obtained based on the trimap and the depth map; and generating a moving viewpoint motion picture based on the foreground mesh/texture map model.
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2.
公开(公告)号:US20190156552A1
公开(公告)日:2019-05-23
申请号:US15836542
申请日:2017-12-08
Inventor: Byung Ok HAN , Jae Hwan KIM , Ho Won KIM , Yu Gu JUNG , Chang Joon PARK , Gil Haeng LEE
Abstract: The present disclosure provides a method and apparatus for reconstructing 3D information of an object. The method of reconstructing 3D information of an object may include: reconstructing 3D information of a background space, using at least one of images of the background space for three-dimensionally reconstructing the object; separating the object from the background space on the basis of at least one of images of the object in the background space, and of obtaining a depth image of the object separated from the background space; and generating 3D information of the object based on images taken by at least one of cameras in consideration of position relationships between the depth image of the object and the cameras.
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3.
公开(公告)号:US20140354630A1
公开(公告)日:2014-12-04
申请号:US13959260
申请日:2013-08-05
Inventor: Jae Hwan KIM , Il Kwon JEONG
Abstract: Provided is a tree model generating method according to an embodiment of the present invention. The tree model generating method includes separating and extracting a skeleton of a tree from an image including the tree to generate a matte image, applying a graph representation scheme of a two-dimensional (2D) object to the matte image to generate an object skeleton graph, generating a depth information value in accordance with a predetermined rule and allocating the generated depth information value to each node on the object skeleton graph to generate a three-dimensional (3D) primary tree model, adding branches to the primary tree model based on a branch library constructed in advance and the predetermined rule to generate a secondary tree model, and performing self-growth representation with respect to the secondary tree model based on a distance between each node on the object skeleton graph to generate a tertiary tree model.
Abstract translation: 提供了根据本发明的实施例的树模型生成方法。 树模型生成方法包括从包括树的图像分离和提取树的骨架以生成无光泽图像,将二维(2D)对象的图表示方案应用于无光图像以生成对象骨架图 根据预定规则生成深度信息值,并将所生成的深度信息值分配给对象骨架图上的每个节点,以生成三维(3D)主树模型,基于主树模型将分支添加到主树模型 提前构建的分支库和预定规则以生成辅助树模型,并且基于对象骨架图上的每个节点之间的距离来执行关于次树模型的自生长表示以生成第三树模型。
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