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Jul 11, 2023 · Abstract:Optical flow estimation is a fundamental task in the field of autonomous driving. Event cameras are capable of responding to ...
The official implementation code repository for EVA-Flow: Towards Anytime Optical Flow Estimation with Event Cameras. @misc{ye2023anytime, title={Towards ...
Based on the inconsistency check, we propose a self-discovered mask to handle the moving and occluded objects. Experiments show that the proposed method is ...
People also ask
What is camera motion estimation from optical flow?
The basic principle of optical flow motion estimation is to calculate the apparent motion of pixels between two consecutive frames of an image or video sequence. The goal is to identify the corresponding pixels in two frames and estimate the displacement vector that describes the motion between them.
What are the method for estimation of optical flow?
There are various approaches concerning the estimation of optical flow. Differential, region-based, energy-based, and phased-based methods are the main groups of approaches [25].
What is optical flow camera?
Optical flow is a technique used to describe image motion. It is usually applied to a series of images that have a small time step between them, for example, video frames. Optical flow calculates a velocity for points within the images, and provides an estimation of where points could be in the next image sequence.
What is the optical flow to detect motion?
Optical flow detects motion within each neighborhood of pixels by registering changes in the color and intensity of pixels from frame to frame. Vectors indicating the direction and magnitude of detected motion are created, and groups of similar vectors are then segmented from each other.
Jul 11, 2023 · Event cameras are capable of responding to log-brightness changes in microseconds. Its characteristic of producing responses only to the ...
Feb 13, 2023 · In this work, we seek to develop one such system, using both event ... to estimate optical flow for driving scenarios. We propose a U-Net ...
Missing: Anytime | Show results with:Anytime
In this section, we review works for flow estimation from event cameras, images, and event-based image reconstruc- tion which could be used for flow estimation.
Missing: Anytime | Show results with:Anytime
The corresponding grayscale images captured from the same camera at the same time as the events are then used as a supervisory signal to provide a loss function ...
Missing: Anytime | Show results with:Anytime
The goal of optical flow estimation is to determine the movement of pixels or features in the image, which can be used for various applications such as object ...
In this paper, we explore the problem of event-based meshflow estimation, a novel task that involves predicting a spatially smooth sparse motion field from ...
Our optical flow estimation method produces sharp images of warped events (IWE) despite the scene complexity, the large pixel displacement and the high dynamic ...