From Bows to Arrows: Rolling Shutter Rectification of Urban Scenes

Rengarajan, Vijay; Rajagopalan, A. N.; Aravind, R.

doi:10.1109/cvpr.2016.303

Cited by 45 publications

(66 citation statements)

References 31 publications

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“…Some works contribute to correct rolling shutter distortions [106]. One way is to use inter-frame correspondences to estimate the camera trajectory and register frames.…”

Section: Low-altitude Automatic Aerial Triangulationmentioning

confidence: 99%

Mini-Unmanned Aerial Vehicle-Based Remote Sensing: Techniques, applications, and prospects

Xiang

Xia

Zhang

2019

IEEE Geosci. Remote Sens. Mag.

163

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The past few decades have witnessed the great progress of unmanned aircraft vehicles (UAVs) in civilian fields, especially in photogrammetry and remote sensing. In contrast with the platforms of manned aircraft and satellite, the UAV platform holds many promising characteristics: flexibility, efficiency, highspatial/temporal resolution, low cost, easy operation, etc., which make it an effective complement to other remote-sensing platforms and a cost-effective means for remote sensing. Considering the popularity and expansion of UAV-based remote sensing in recent years, this paper provides a systematic survey on the recent advances and future prospectives of UAVs in the remote-sensing community. Specifically, the main challenges and key technologies of remote-sensing data processing based on UAVs are discussed and summarized firstly. Then, we provide an overview of the widespread applications of UAVs in remote sensing. Finally, some prospects for future work are discussed. We hope this paper will provide remotesensing researchers an overall picture of recent UAV-based remote sensing developments and help guide the further research on this topic.

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“…Some works contribute to correct rolling shutter distortions [106]. One way is to use inter-frame correspondences to estimate the camera trajectory and register frames.…”

Section: Low-altitude Automatic Aerial Triangulationmentioning

confidence: 99%

Mini-Unmanned Aerial Vehicle-Based Remote Sensing: Techniques, applications, and prospects

Xiang

Xia

Zhang

2019

IEEE Geosci. Remote Sens. Mag.

163

View full text Add to dashboard Cite

show abstract

“…However, this scenario is not an Ackermann motion (also different from motion demonstrated in Figure 2(a)) and the solution is presented here for completeness. Note that the existing accurate nonlinear op-timization techniques, e.g., [21] can be utilized in this case which is, nevertheless, much slower than the proposed minimal solver.…”

Section: Specific Motionsmentioning

confidence: 99%

“…Thus this is the scenario of a specific motion where translation is negligible. Here, we evaluate our algorithm 1-LA with baselines [15,21] and the results are displayed in Figure 9. Note that [15] compensates the camera motion by the gyroscope readings.…”

Section: Experiments On Real Datamentioning

confidence: 99%

“…Note that [15] compensates the camera motion by the gyroscope readings. [21] Input [10] Ours 1 st frame 5 th frame 10 th frame Figure 8: Evaluation of the proposed method 4-LA on a real data sequence i4s_depth_3_.mp4 from the dataset [10] captured by iPhone4. We display 1st, 5th and 10th images of the sequence.…”

Section: Experiments On Real Datamentioning

confidence: 99%

“…In this work, we develop a minimal solver for RS compensation from a single distorted image. The monocu- lar RS compensation has been addressed in recent methods [26,21,20], however, none of these methods incorporate the translational part of the ego-motion. Moreover, these methods are not fast enough to operate in real time.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Minimal Solvers for Monocular Rolling Shutter Compensation Under Ackermann Motion

Purkait

Zach

2018

2018 IEEE Winter Conference on Applications of Computer Vision (WACV)

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Modern automotive vehicles are often equipped with a budget commercial rolling shutter camera. These devices often produce distorted images due to the inter-row delay of the camera while capturing the image. Recent methods for monocular rolling shutter motion compensation utilize blur kernel and the straightness property of line segments. However, these methods are limited to handling rotational motion and also are not fast enough to operate in real time. In this paper, we propose a minimal solver for the rolling shutter motion compensation which assumes known vertical direction of the camera. Thanks to the Ackermann motion model of vehicles which consists of only two motion parameters, and two parameters for the simplified depth assumption that lead to a 4-line algorithm. The proposed minimal solver estimates the rolling shutter camera motion efficiently and accurately. The extensive experiments on real and simulated datasets demonstrate the benefits of our approach in terms of qualitative and quantitative results.

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Image Stitching and Rectification for Hand-Held Cameras

Zhuang

Tran

2020

Lecture Notes in Computer Science

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From Bows to Arrows: Rolling Shutter Rectification of Urban Scenes

Cited by 45 publications

References 31 publications

Mini-Unmanned Aerial Vehicle-Based Remote Sensing: Techniques, applications, and prospects

Mini-Unmanned Aerial Vehicle-Based Remote Sensing: Techniques, applications, and prospects

Minimal Solvers for Monocular Rolling Shutter Compensation Under Ackermann Motion

Image Stitching and Rectification for Hand-Held Cameras

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