paper-with-me

Papers

Trapping Light for Time of Flight

2018-06-01 · CVPR 2018 6 · Ruilin Xu, Mohit Gupta, Shree K. Nayar

We propose a novel imaging method for near-complete, surround, 3D reconstruction of geometrically complex objects, in a single shot. The key idea is to augment a time-of-flight (ToF) based 3D sensor with a multi-mirror system, called a light-trap. The shape of the trap is chosen so that light rays entering it bounce multiple times inside the trap, thereby visiting every position inside the trap multiple times from various directions. We show via simulations that this enables light rays to reach more than 99.9% of the surface of objects placed inside the trap, even those with strong occlusions, for example, lattice-shaped objects. The ToF sensor provides the path length for each light ray, which, along with the known shape of the trap, is used to reconstruct the complete paths of all the rays. This enables performing dense, surround 3D reconstructions of objects with highly complex 3D shapes, in a single shot. We have developed a proof-of-concept hardware prototype consisting of a pulsed ToF sensor, and a light trap built with planar mirrors. We demonstrate the effectiveness of the light trap based 3D reconstruction method on a variety of objects with a broad range of geometry and reflectance properties.

📄 PDF Abstract BibTeX

Code (0)

등록된 구현이 없습니다.

Tasks

3D Reconstruction

Similar Papers 제목 키워드 기반

Bootstrapping Corner Cases: High-Resolution Inpainting for Safety Critical Detect and Avoid for Automated Flying

2025-01-14 · Jonathan Lyhs, Lars Hinneburg, Michael Fischer, Florian Ölsner 외

Modern machine learning techniques have shown tremendous potential, especially for object detection on camera images. For this reason, they are also used to enable safety-critical automated processes such as autonomous d…

Objectobject-detectionObject Detection

Advancing Wildlife Monitoring: Drone-Based Sampling for Roe Deer Density Estimation

2025-08-05 · Stephanie Wohlfahrt, Christoph Praschl, Horst Leitner, Wolfram Jantsch 외 arxiv

We use unmanned aerial drones to estimate wildlife density in southeastern Austria and compare these estimates to camera trap data. Traditional methods like capture-recapture, distance sampling, or camera traps are well-…

Density Estimation

Frequency Domain TOF: Encoding Object Depth in Modulation Frequency

2015-03-05 · Achuta Kadambi, Vage Taamazyan, Suren Jayasuriya, Ramesh Raskar

Time of flight cameras may emerge as the 3-D sensor of choice. Today, time of flight sensors use phase-based sampling, where the phase delay between emitted and received, high-frequency signals encodes distance. In this …

Object

A Data Mining Approach to Flight Arrival Delay Prediction for American Airlines

2019-03-15 · Navoneel Chakrabarty

In the present scenario of domestic flights in USA, there have been numerous instances of flight delays and cancellations. In the United States, the American Airlines, Inc. have been one of the most entrusted and the wor…

Flying batteries: In-flight battery switching to increase multirotor flight time

2020-03-26

We present a novel approach to increase the flight time of a multirotor via mid-air docking and in-flight battery switching. A main quadcopter flying using a primary battery has a docking platform attached to it. A 'flyi…