Do We Need Binary Features for 3D Reconstruction?
文献类型：会议论文
| 作者 | Bin Fan ; Qingqun Kong; Wei Sui; Zhiheng Wang; Xinchao Wang; Shiming Xiang; Chunhong Pan; Pascal Fua
|
| 出版日期 | 2016 |
| 会议日期 | 2016-6 |
| 会议地点 | Las Vegas, USA |
| 英文摘要 | Binary features have been incrementally popular in the past few years due to their low memory footprints and the efficient computation of Hamming distance between binary descriptors. They have been shown with promising results on some real time applications, e.g., SLAM, where the matching operations are relative few. However, in computer vision, there are many applications such as 3D reconstruction requiring lots of matching operations between local features. Therefore, a natural question is that is the binary feature still a promising solution to this kind of applications? To get the answer, this paper conducts a comparative study of binary features and their matching methods on the context of 3D reconstruction in a recently proposed large scale mutliview stereo dataset. Our evaluations reveal that not all binary features are capable of this task. Most of them are inferior to the classical SIFT based method in terms of reconstruction accuracy and completeness with a not significant better computational performance. |
| 源URL | [http://ir.ia.ac.cn/handle/173211/20370]  |
| 专题 | 自动化研究所_模式识别国家重点实验室_遥感图像处理团队 |
| 推荐引用方式 GB/T 7714 | Bin Fan,Qingqun Kong,Wei Sui,et al. Do We Need Binary Features for 3D Reconstruction?[C]. 见:. Las Vegas, USA. 2016-6. |
入库方式： OAI收割
来源：自动化研究所
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