6 papers
The Midas Touch for Metric Depth
Yu Ma, Zizhan Guo, Zuyi Xiong +5
Recent advances have markedly improved the cross-scene generalization of relative depth estimation, yet its practical applicability remains limited by the absence of metric scale,…
Two-Stream Interactive Joint Learning of Scene Parsing and Geometric Vision Tasks
Guanfeng Tang, Hongbo Zhao, Ziwei Long +5
Inspired by the human visual system, which operates on two parallel yet interactive streams for contextual and spatial understanding, this article presents Two Interactive Streams…
Discriminately Treating Motion Components Evolves Joint Depth and Ego-Motion Learning
Mengtan Zhang, Zizhan Guo, Hongbo Zhao +6
Unsupervised learning of depth and ego-motion, two fundamental 3D perception tasks, has made significant strides in recent years. However, most methods treat ego-motion as an auxil…
A Birotation Solution for Relative Pose Problems
Hongbo Zhao, Ziwei Long, Mengtan Zhang +3
Relative pose estimation, a fundamental computer vision problem, has been extensively studied for decades. Existing methods either estimate and decompose the essential matrix or di…
Environment-Driven Online LiDAR-Camera Extrinsic Calibration
Zhiwei Huang, Jiaqi Li, Hongbo Zhao +5
LiDAR-camera extrinsic calibration (LCEC) is crucial for multi-modal data fusion in autonomous robotic systems. Existing methods, whether target-based or target-free, typically rel…
Dive Deeper into Rectifying Homography for Stereo Camera Online Self-Calibration
Hongbo Zhao, Yikang Zhang, Qijun Chen +1
Accurate estimation of stereo camera extrinsic parameters is the key to guarantee the performance of stereo matching algorithms. In prior arts, the online self-calibration of stere…