Zobrazeno 1 - 10
of 13 312
pro vyhledávání: '"Optical flow estimation"'
Autor:
Tian, Yi, Andrade-Cetto, Juan
Event cameras generate asynchronous and sparse event streams capturing changes in light intensity. They offer significant advantages over conventional frame-based cameras, such as a higher dynamic range and an extremely faster data rate, making them
Externí odkaz:
http://arxiv.org/abs/2409.04082
Facial movements play a crucial role in conveying altitude and intentions, and facial optical flow provides a dynamic and detailed representation of it. However, the scarcity of datasets and a modern baseline hinders the progress in facial optical fl
Externí odkaz:
http://arxiv.org/abs/2409.05396
Real-time high-accuracy optical flow estimation is crucial for various real-world applications. While recent learning-based optical flow methods have achieved high accuracy, they often come with significant computational costs. In this paper, we prop
Externí odkaz:
http://arxiv.org/abs/2408.10161
This paper investigates the possibilities offered by combining regularization and preconditioning by the same symmetric positive semi-definite operator when solving ill-posed problems. We study the question of the stopping criterion, and the possibil
Externí odkaz:
http://arxiv.org/abs/2406.04695
Autor:
Dong, Qiaole, Fu, Yanwei
Optical flow is a classical task that is important to the vision community. Classical optical flow estimation uses two frames as input, whilst some recent methods consider multiple frames to explicitly model long-range information. The former ones li
Externí odkaz:
http://arxiv.org/abs/2404.04808
Autor:
Jeong, Jisoo, Cai, Hong, Garrepalli, Risheek, Lin, Jamie Menjay, Hayat, Munawar, Porikli, Fatih
The scarcity of ground-truth labels poses one major challenge in developing optical flow estimation models that are both generalizable and robust. While current methods rely on data augmentation, they have yet to fully exploit the rich information av
Externí odkaz:
http://arxiv.org/abs/2403.18092
Real-time high-accuracy optical flow estimation is a crucial component in various applications, including localization and mapping in robotics, object tracking, and activity recognition in computer vision. While recent learning-based optical flow met
Externí odkaz:
http://arxiv.org/abs/2403.10425
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Akademický článek
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Collecting real-world optical flow datasets is a formidable challenge due to the high cost of labeling. A shortage of datasets significantly constrains the real-world performance of optical flow models. Building virtual datasets that resemble real sc
Externí odkaz:
http://arxiv.org/abs/2312.16995