位置：成果数据库 > 会议 > 会议详情页
A ROBUST AND ACCURATE SELF-CALIBRATION APPROACH FROM UNORDERED WIDE-BASELINE IMAGES
  • 所属机构名称：北京交通大学
  • 会议名称：IEEE International Conference on Image Processing
  • 成果类型：会议
  • 会场：Hong Kong
  • 相关项目：三维模型语义分析与检索研究
作者： Tang, Zhen|Miao, Zhenjiang|Chen, Jing|Hu, Mingxing|Wan, Yanli|
同会议论文项目
三维模型语义分析与检索研究
期刊论文 3 会议论文 13 专利 2
同项目会议论文
Reconstruction of dense point cloud from uncalibrated widebaseline images
Building three-dimensional cartoon model from image sequence
A 3D-shape retrieval system to improve the text retrieval
Oriented gradients for human action recognition
Retrieval of 3D models based on multi-instance
3D object classification by fuzzy KNN and bayesian decision
基于自适应几何词汇选择的非刚体三维模型检索方法
基于层次化聚类的3D 模型多示例生成算法及其检索应用
A robust dynamic niching genetic clustering approach for image segmentation
Multiple Description Image Coding Based on Fast Fractal Coding
3D Scene Reconstruction Based on Uncalibrated Image Sequences
Parts-based 2D shape decomposition by convex hull