【24h】

Disparity Manipulation For Stereo Images and Video

机译:立体图像和视频的视差处理

获取原文
获取原文并翻译 | 示例

摘要

We develop a general framework for disparity manipulation and morphing for stereo images and video. The framework consists of three parts: disparity map generation, disparity map manipulating/editing, and stereo image synthesis. We first discuss disparity map generation techniques for different original input data types, including monoscopic images, monoscopic video, stereo image pairs, and stereo video. Then, we describe three methods for user manipulation of the disparity map. In the first, the user employs an interactive object-selecting tool by inputting seed points near the desired object boundary. Given the selected objects, the user defines input-output disparity mapping curves for each object. In the second method, the user arbitrary manipulates a 3D disparity surface and our system calculates the new 3D surface after the user editing. A third method provides conversions between the two common stereo camera capture setups: "toe-in" and "off-axis" (we present their mathematical description). We show several morphed disparity map examples for each disparity manipulation method. Finally, we describe disparity-based image rendering to synthesize new stereo image pairs from given original stereo image pairs based on a morphed disparity map. The synthesis method includes image warping, data-filling and disparity map smoothing procedures.
机译:我们开发了用于立体图像和视频的视差处理和变形的通用框架。该框架包括三个部分:视差图生成,视差图操作/编辑和立体图像合成。我们首先讨论用于不同原始输入数据类型的视差图生成技术,包括原始图像,原始视频,立体图像对和立体视频。然后,我们描述了三种用户操作视差图的方法。首先,用户通过在所需对象边界附近输入种子点来使用交互式对象选择工具。给定选定的对象,用户为每个对象定义输入-输出视差映射曲线。在第二种方法中,用户可以任意操作3D视差曲面,并且我们的系统在用户编辑后会计算新的3D曲面。第三种方法提供了两种常见的立体摄像机捕获设置之间的转换:“趾尖”和“离轴”(我们给出它们的数学描述)。我们为每种视差操纵方法显示了几个变形视差图示例。最后,我们描述了基于视差的图像渲染,以基于变形视差图从给定的原始立体图像对合成新的立体图像对。合成方法包括图像变形,数据填充和视差图平滑过程。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号