首页> 外文期刊>Neurocomputing >Depth map up-sampling with fractal dimension and texture-depth boundary consistencies
【24h】

Depth map up-sampling with fractal dimension and texture-depth boundary consistencies

机译:具有分形维数和纹理深度边界一致性的深度图上采样

获取原文
获取原文并翻译 | 示例

摘要

The resolution of the depth map captured by a time-of-flight camera is rather limited; hence, it cannot be directly used to build a high-quality 3D model, together with an associated high-resolution texture image. In this paper, an improved depth up-sampling algorithm that considers two important characteristics of the depth map is proposed. First, the invariance of the fractal dimension between the low-resolution and high-resolution depth maps is maintained. Second, the boundaries of the depth map and its corresponding texture image are made to be consistent to provide a good synthesized virtual view. The experimental results show that the proposed method achieves superior performance for the up-sampled depth map and synthesized virtual view compared with classical approaches. (C) 2017 Elsevier B.V. All rights reserved.
机译:飞行时间相机捕获的深度图的分辨率相当有限;因此,它不能与关联的高分辨率纹理图像一起直接用于构建高质量3D模型。本文提出了一种改进的深度采样算法,该算法考虑了深度图的两个重要特征。首先,维持低分辨率和高分辨率深度图之间的分形维数不变。其次,使深度图的边界及其对应的纹理图像保持一致,以提供良好的合成虚拟视图。实验结果表明,与经典方法相比,该方法在上采样深度图和合成虚拟视图方面具有更好的性能。 (C)2017 Elsevier B.V.保留所有权利。

著录项

  • 来源
    《Neurocomputing》 |2017年第27期|185-192|共8页
  • 作者单位

    Beijing jiaotong Univ, Inst Informat Sci, Beijing 100044, Peoples R China|Beijing Key Lab Adv Informat Sci & Network Techno, Beijing 100044, Peoples R China;

    Beijing jiaotong Univ, Inst Informat Sci, Beijing 100044, Peoples R China|Beijing Key Lab Adv Informat Sci & Network Techno, Beijing 100044, Peoples R China;

    Simon Fraser Univ, Sch Engineer Sci, Burnaby, BC, Canada;

    Beijing jiaotong Univ, Inst Informat Sci, Beijing 100044, Peoples R China|Beijing Key Lab Adv Informat Sci & Network Techno, Beijing 100044, Peoples R China;

    Beijing jiaotong Univ, Inst Informat Sci, Beijing 100044, Peoples R China|Beijing Key Lab Adv Informat Sci & Network Techno, Beijing 100044, Peoples R China;

    Beijing jiaotong Univ, Inst Informat Sci, Beijing 100044, Peoples R China|Beijing Key Lab Adv Informat Sci & Network Techno, Beijing 100044, Peoples R China;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    3DTV; Depth map; Boundary consistency; Local fractal analysis;

    机译:3DTV;深度图;边界一致性;局部分形分析;

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