图 书 馆
轮廓人：二维关节人体形状的参数化模型Contour People: A Parameterized Model of 2D Articulated Human Shape |
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| 课程网址: | http://videolectures.net/cvpr2010_freifeld_m2da/ |
| 主讲教师: | Oren Freifeld |
| 开课单位: | 布朗大学 |
| 开课时间: | 2010-07-19 |
| 课程语种: | 英语 |
| 中文简介: |  我们定义了一种新的人体“轮廓人”模型，该模型具有详细的3D模型的表达能力以及基于2D零件的简单模型的计算优势。轮廓人（CP）模型是从捕获自然形状和姿势变化的3D SCAPE人体模型中学习的；该模型的投影轮廓以及将其分割为多个部分构成了训练集。 CP模型将身体的变形分为三个部分：形状变化，视点变化和零件旋转。后一个模型还结合了学习的非刚性变形模型。结果是一个二维关节模型，该模型表达紧凑，易于计算并且比以前的模型更具表现力。我们在二维姿势估计和分割中证明了这种模型的价值。给定标准图片结构方法的初始姿势，我们使用目标函数细化姿势和形状，该函数将场景分为前景和背景区域。结果是参数化的，特定于人类的图像分割。 |
| 课程简介: | We define a new “contour person” model of the human body that has the expressive power of a detailed 3D model and the computational benefits of a simple 2D part-based model. The contour person (CP) model is learned from a 3D SCAPE model of the human body that captures natural shape and pose variations; the projected contours of this model, along with their segmentation into parts forms the training set. The CP model factors deformations of the body into three components: shape variation, viewpoint change and part rotation. This latter model also incorporates a learned non-rigid deformation model. The result is a 2D articulated model that is compact to represent, simple to compute with and more expressive than previous models. We demonstrate the value of such a model in 2D pose es- timation and segmentation. Given an initial pose from a standard pictorial-structures method, we refine the pose and shape using an objective function that segments the scene into foreground and background regions. The result is a parametric, human-specific, image segmentation. |
| 关 键 词: | 图像分割; 3D模型 |
| 课程来源: | 视频讲座网 |
| 数据采集: | 2020-12-07：zyk |
| 最后编审: | 2020-12-07：zyk |
| 阅读次数: | 57 |