Results 161 to 170 of about 11,065 (197)
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Vision-aided inertial navigation with rolling-shutter cameras
The International Journal of Robotics Research, 2014In this paper, we focus on the problem of pose estimation using measurements from an inertial measurement unit and a rolling-shutter (RS) camera. The challenges posed by RS image capture are typically addressed by using approximate, low-dimensional representations of the camera motion.
Mingyang Li, Anastasios I. Mourikis
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Accurate 3D Reconstruction from Small Motion Clip for Rolling Shutter Cameras
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2019Structure from small motion has become an important topic in 3D computer vision as a method for estimating depth, since capturing the input is so user-friendly. However, major limitations exist with respect to the form of depth uncertainty, due to the narrow baseline and the rolling shutter effect.
Sunghoon Im +5 more
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Rolling Shutter Camera: Modeling, Optimization and Learning
Machine Intelligence Research, 2023Bin Fan, Yuchao Dai, Mingyi He
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Compressive Rolling Shutter Camera Array
Imaging and Applied Optics Congress, 2020We propose a CMOS-camera array architecture exploiting rolling shutter diversity to generate a compressive forward model that can increase the temporal resolution of the sensed data.
Felipe Guzmán, Esteban Vera
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Performance of rolling shutter and global shutter camera in optical camera communications
2015 International Conference on Information and Communication Technology Convergence (ICTC), 2015Optical Camera Communication (OCC) is considered as an extension of IEEE 802.15.7 specification by same communication channel. Different with another technique, Optical Camera Communication used image sensor for receiver, so the characteristic of image sensor will effect on the operation and performance.
Thithanhnhan Le +2 more
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Direct semi-dense SLAM for rolling shutter cameras
2016 IEEE International Conference on Robotics and Automation (ICRA), 2016In this paper, we present a monocular Direct and Semi-dense SLAM (Simultaneous Localization And Mapping) system for rolling shutter cameras. In a rolling shutter camera, the pose is different for each row of each image, and this yields poor pose estimates and poor structure estimates when using a state-of-the-art semi-dense direct method designed for ...
Jae-Hak Kim, Cesar Cadena, Ian Reid
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Unified Video Reconstruction for Rolling Shutter and Global Shutter Cameras
IEEE Transactions on Image ProcessingCurrently, the general domain of video reconstruction (VR) is fragmented into different shutters spanning global shutter and rolling shutter cameras. Despite rapid progress in the state-of-the-art, existing methods overwhelmingly follow shutter-specific paradigms and cannot conceptually generalize to other shutter types, hindering the uniformity of VR ...
Bin Fan +4 more
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Fast structured illumination microscopy using rolling shutter cameras
Measurement Science and Technology, 2016Spatial light modulators (SLM) update in a synchronous manner, whereas the data readout process in fast structured illumination systems is usually done using a rolling shutter camera with asynchronous readout. In structured illumination microscopy (SIM), this leads to synchronization problems causing a speed limit for fast acquisition. In this paper we
Liyan Song +6 more
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Motion and velocity estimation of rolling shutter cameras
Proceedings of the 9th European Conference on Visual Media Production - CVMP '12, 2012Most modern camera designs based on CMOS sensors do not have a global, but a rolling shutter that exposes the lines of the sensor at different times. This leads to distortions under camera or object motion and affects computer vision techniques. This article introduces the use of a linear velocity model for camera motion and estimates these additional ...
Oliver Grau, Julien Pansiot
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Vibration Extraction Using Rolling Shutter Cameras
2016Measurements of vibrations, such as sound hitting an object or running a motor, are widely used in industry and research. Traditional methods need either direct contact with the object or a laser vibrometer. Although computer vision methods have been applied to solve this problem, high speed cameras are usually preferred.
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