<p>A, A’) Two consecutive frames of a time-lapse movie. B) Optical Flow analysis yields a vector field that is represented in a color-coded manner. As shown in the inset, color hue represents direction of movement and color intensity represents magnitude of movement. C) Polar histogram showing the distribution of the summed angles of motion vectors detected by OF. Blue and red bars depict binned movement in the left and right side of the field, respectively. Red and blue arrows represent the average vector of movement, and the green arrow is the average vector over the whole field. Scale Bar = 50 µm. Anterior movements are toward the bottom of the page.</p
In this paper, the authors present information processing strategies, derived from neurobiology, whi...
This paper reviews a number of aspects of visual motion analysis in biological systems from a comp...
<p>The optical flow speeds at the fixation position for the two stimuli are presented here; for the ...
(A) Time frames from supplementary time-lapse movie 6 showing cytoplasmic flow from the cell body in...
<p>(A) the source image (B) the target image taken 3 seconds after the source image. (C) the respira...
<p>OF analysis were averaged and represented over time as net displacement reflecting: A) Posterior-...
The analysis of sequence of images, used to approximate motion, is a core area of computer vision. T...
An optical flow gradient algorithm was applied to spontaneously forming networks of neurons and glia...
We captured the image in each frame during the visual stimulation. Subsequently, we employed the MAT...
(A) Time frames from supplementary time-lapse movie 5 showing cytoplasmic flow from the cell body in...
The analysis of visual motion divides naturally into two stages: the first is the measurement of m...
International audienceIn this chapter, we learn to identify image objects in time-lapse movies of si...
Artículo de publicación ISIOptical flow approaches calculate vector fields which determine the appa...
Steps to compute a FLOW portrait for a synthetic two-dimensional Gaussian that grows, translates to ...
We captured the image in each frame during the visual stimulation. Subsequently, we employed the MAT...
In this paper, the authors present information processing strategies, derived from neurobiology, whi...
This paper reviews a number of aspects of visual motion analysis in biological systems from a comp...
<p>The optical flow speeds at the fixation position for the two stimuli are presented here; for the ...
(A) Time frames from supplementary time-lapse movie 6 showing cytoplasmic flow from the cell body in...
<p>(A) the source image (B) the target image taken 3 seconds after the source image. (C) the respira...
<p>OF analysis were averaged and represented over time as net displacement reflecting: A) Posterior-...
The analysis of sequence of images, used to approximate motion, is a core area of computer vision. T...
An optical flow gradient algorithm was applied to spontaneously forming networks of neurons and glia...
We captured the image in each frame during the visual stimulation. Subsequently, we employed the MAT...
(A) Time frames from supplementary time-lapse movie 5 showing cytoplasmic flow from the cell body in...
The analysis of visual motion divides naturally into two stages: the first is the measurement of m...
International audienceIn this chapter, we learn to identify image objects in time-lapse movies of si...
Artículo de publicación ISIOptical flow approaches calculate vector fields which determine the appa...
Steps to compute a FLOW portrait for a synthetic two-dimensional Gaussian that grows, translates to ...
We captured the image in each frame during the visual stimulation. Subsequently, we employed the MAT...
In this paper, the authors present information processing strategies, derived from neurobiology, whi...
This paper reviews a number of aspects of visual motion analysis in biological systems from a comp...
<p>The optical flow speeds at the fixation position for the two stimuli are presented here; for the ...