Active Disparity Sampling for Stereo Matching With Adjoint Network
文献类型：期刊论文
| 作者 | Zhang, Chenghao1,2 ; Meng, Gaofeng1,2,3; Tian, Kun1,2; Ni, Bolin1,2; Xiang, Shiming1,2
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| 刊名 | IEEE TRANSACTIONS ON IMAGE PROCESSING
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| 出版日期 | 2024 |
| 卷号 | 33页码:354-365 |
| ISSN号 | 1057-7149 |
| 关键词 | Stereo matching domain generalization active sampling adjoint network Bayesian optimization |
| DOI | 10.1109/TIP.2023.3343105 |
| 通讯作者 | Meng, Gaofeng(gfmeng@nlpr.ia.ac.cn) |
| 英文摘要 | The sparse signals provided by external sources have been leveraged as guidance for improving dense disparity estimation. However, previous methods assume depth measurements to be randomly sampled, which restricts performance improvements due to under-sampling in challenging regions and over-sampling in well-estimated areas. In this work, we introduce an Active Disparity Sampling problem that selects suitable sampling patterns to enhance the utility of depth measurements given arbitrary sampling budgets. We achieve this goal by learning an Adjoint Network for a deep stereo model to measure its pixel-wise disparity quality. Specifically, we design a hard-soft prior supervision mechanism to provide hierarchical supervision for learning the quality map. A Bayesian optimized disparity sampling policy is further proposed to sample depth measurements with the guidance of the disparity quality. Extensive experiments on standard datasets with various stereo models demonstrate that our method is suited and effective in different stereo architectures and outperforms existing fixed and adaptive sampling methods under different sampling rates. Remarkably, the proposed method makes substantial improvements when generalized to heterogeneous unseen domains. |
| WOS关键词 | VISION |
| 资助项目 | National Natural Science Foundation of China |
| WOS研究方向 | Computer Science ; Engineering |
| 语种 | 英语 |
| 出版者 | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
| WOS记录号 | WOS:001133501900003 |
| 资助机构 | National Natural Science Foundation of China |
| 源URL | [http://ir.ia.ac.cn/handle/173211/54850]  |
| 专题 | 多模态人工智能系统全国重点实验室 |
| 通讯作者 | Meng, Gaofeng |
| 作者单位 | 1.Chinese Acad Sci, Inst Automat, State Key Lab Multimodal Artificial Intelligence S, Beijing 100190, Peoples R China 2.Univ Chinese Acad Sci, Sch Artificial Intelligence, Beijing 100049, Peoples R China 3.Chinese Acad Sci, Hong Kong Inst Sci & Innovat, Ctr Artificial Intelligence & Robot, Hong Kong 999077, Peoples R China |
| 推荐引用方式 GB/T 7714 | Zhang, Chenghao,Meng, Gaofeng,Tian, Kun,et al. Active Disparity Sampling for Stereo Matching With Adjoint Network[J]. IEEE TRANSACTIONS ON IMAGE PROCESSING,2024,33:354-365. |
| APA | Zhang, Chenghao,Meng, Gaofeng,Tian, Kun,Ni, Bolin,&Xiang, Shiming.(2024).Active Disparity Sampling for Stereo Matching With Adjoint Network.IEEE TRANSACTIONS ON IMAGE PROCESSING,33,354-365. |
| MLA | Zhang, Chenghao,et al."Active Disparity Sampling for Stereo Matching With Adjoint Network".IEEE TRANSACTIONS ON IMAGE PROCESSING 33(2024):354-365. |
入库方式： OAI收割
来源：自动化研究所
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