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lucas_kanade.h File Reference

efficient fixed-point optical-flow calculation More...

#include "std.h"
#include "image.h"
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Functions

struct flow_topticFlowLK (struct image_t *new_img, struct image_t *old_img, struct point_t *points, uint16_t *points_cnt, uint16_t half_window_size, uint16_t subpixel_factor, uint8_t max_iterations, uint8_t step_threshold, uint16_t max_points)
 Compute the optical flow of several points using the Lucas-Kanade algorithm by Yves Bouguet The initial fixed-point implementation is doen by G. More...
 

Detailed Description

efficient fixed-point optical-flow calculation

Definition in file lucas_kanade.h.

Function Documentation

struct flow_t* opticFlowLK ( struct image_t new_img,
struct image_t old_img,
struct point_t points,
uint16_t points_cnt,
uint16_t  half_window_size,
uint16_t  subpixel_factor,
uint8_t  max_iterations,
uint8_t  step_threshold,
uint16_t  max_points 
)

Compute the optical flow of several points using the Lucas-Kanade algorithm by Yves Bouguet The initial fixed-point implementation is doen by G.

de Croon and is adapted by Freek van Tienen for the implementation in Paparazzi.

Parameters
[in]*new_imgThe newest grayscale image (TODO: fix YUV422 support)
[in]*old_imgThe old grayscale image (TODO: fix YUV422 support)
[in]*pointsPoints to start tracking from
[in,out]points_cntThe amount of points and it returns the amount of points tracked
[in]half_window_sizeHalf the window size (in both x and y direction) to search inside
[in]subpixel_factorThe subpixel factor which calculations should be based on
[in]max_iterationsMaximum amount of iterations to find the new point
[in]step_thresholdThe threshold at which the iterations should stop
[in]max_pointsThe maximum amount of points to track, we skip x points and then take a point.
Returns
The vectors from the original *points in subpixels

Definition at line 53 of file lucas_kanade.c.

References FALSE, flow_t::flow_x, flow_t::flow_y, image_t::h, image_calculate_g(), image_create(), image_difference(), image_free(), IMAGE_GRADIENT, image_gradients(), IMAGE_GRAYSCALE, image_multiply(), image_subpixel_window(), p, flow_t::pos, TRUE, image_t::w, point_t::x, and point_t::y.

Referenced by opticflow_calc_frame().

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