Event-Based Vision: A Survey
Guillermo Gallego, Tobi Delbrück, Garrick Orchard, et al.
A comprehensive survey of event-based vision, covering event camera principles, available sensors, processing algorithms, applications, and future challenges.
A comprehensive index of artificial intelligence and machine-learning research with AI-generated summaries, citation metrics, and direct links to papers and code.
Guillermo Gallego, Tobi Delbrück, Garrick Orchard, et al.
A comprehensive survey of event-based vision, covering event camera principles, available sensors, processing algorithms, applications, and future challenges.
Dexter Ong, Vijay Kumar, Pratik Chaudhari
EVPeriscope uses an upward-facing event camera on a ground robot to detect a quadrotor's propeller signature for relative localization and control in degraded conditions.
Mohammad Sadegh Norouzzadeh, Anh‐Tu Nguyen, Margaret Kosmala, et al.
This paper demonstrates that deep convolutional neural networks can automatically identify, count, and describe behaviors of 48 animal species in camera-trap images, achieving human-level accuracy and saving years of manual labeling effort.
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First application of 3D Gaussian Splatting in monocular SLAM, enabling live 3fps dense mapping and tracking from a single camera.
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CF3DGS jointly optimizes 3D Gaussian Splatting and camera poses without requiring COLMAP initialization, enabling efficient novel view synthesis from unposed images.
Lizhi Yang, Junheng Li, Aaron D. Ames
PAC-MAN couples control-barrier safety with perception-aware training for whole-body humanoid dodgeball, achieving 95% real-world evasion with a fixed camera.
Zheng Zhang
A flexible camera calibration technique using a planar pattern observed at multiple orientations, with closed-form solution and nonlinear refinement.
Ruikang Li, Molin Li, Jiarui Wu, et al.
Proposes Color Pass-Through, an end-to-end learned framework that couples camera and display as a single system to improve color reproduction accuracy.