Active Stereo Without Pattern Projector
Luca Bartolomei, Matteo Poggi, Fabio Tosi, Andrea Conti, Stefano Mattoccia
摘要
This paper proposes a novel framework integrating the principles of active stereo in standard passive camera systems without a physical pattern projector. We virtually project a pattern over the left and right images according to the sparse measurements obtained from a depth sensor. Any such devices can be seamlessly plugged into our framework, allowing for the deployment of a virtual active stereo setup in any possible environment, overcoming the limitation of pattern projectors, such as limited working range or environmental conditions. Experiments on indoor/outdoor datasets, featuring both long and close-range, support the seamless effectiveness of our approach, boosting the accuracy of both stereo algorithms and deep networks.
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引用它的顶会 Paper3
- Stereo Anywhere: Robust Zero-Shot Deep Stereo Matching Even Where Either Stereo or Mono FailLuca Bartolomei, Fabio Tosi, Matteo Poggi, Stefano MattocciaCVPR 2025
- GS-ASM: 2DGS-Supervised Active Stereo MatchingZhengling Wu, Rongfeng Lu, Quan Chen, Longjian Zeng 等CVPR 2026
- Active Event-based Stereo VisionJianing Li, Yunjian Zhang, Haiqian Han, Xiangyang JiCVPR 2025
它引用的顶会 Paper15
- Hierarchical Neural Architecture Search for Deep Stereo MatchingXuelian Cheng, Yiran Zhong, Mehrtash Harandi, Yuchao Dai 等NeurIPS 2020 · 被引用 436 次
- Revisiting Stereo Depth Estimation From a Sequence-to-Sequence Perspective with TransformersZhaoshuo Li, Xingtong Liu, Nathan Drenkow, Andy S. Ding 等ICCV 2021 · 被引用 380 次
- Practical Stereo Matching via Cascaded Recurrent Network with Adaptive CorrelationJiankun Li, Peisen Wang, Pengfei Xiong, Tao Cai 等CVPR 2022 · 被引用 294 次
- Learning Joint 2D-3D Representations for Depth CompletionYun Chen, Bin Yang, Ming Liang, Raquel UrtasunICCV 2019 · 被引用 190 次
- Dynamic Spatial Propagation Network for Depth CompletionYuankai Lin, Tao Cheng, Qi Zhong, Wending Zhou 等AAAI 2022 · 被引用 155 次
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