expand_noncircular {rcaiman} | R Documentation |
Expand non-circular
Description
Expand a non-circular hemispherical photograph.
Usage
expand_noncircular(caim, z, zenith_colrow)
Arguments
caim |
SpatRaster. The return of a call to |
z |
SpatRaster built with |
zenith_colrow |
Numeric vector of length two. Raster coordinates of the
zenith. See |
Value
An object of class SpatRaster that is the result of adding
margins (NA
pixels) to caim
. The zenith point depicted in the picture
should be in the center of the image or very close to it.
See Also
Other Lens Functions:
azimuth_image()
,
calc_diameter()
,
calc_relative_radius()
,
calc_zenith_colrow()
,
calibrate_lens()
,
crosscalibrate_lens()
,
extract_radiometry()
,
fisheye_to_equidistant()
,
fisheye_to_pano()
,
lens()
,
test_lens_coef()
,
zenith_image()
Examples
## Not run:
# ====================================================================
# Non-circular Fisheye images from a Smartphone with an Auxiliary Lens
# (Also applicable to Non-circular images from DSLR cameras)
# ====================================================================
path <- system.file("external/APC_0581.jpg", package = "rcaiman")
caim <- read_caim(path)
z <- zenith_image(2132/2, c(0.7836, 0.1512, -0.1558))
a <- azimuth_image(z)
zenith_colrow <- c(1063, 771)/2
caim <- expand_noncircular(caim, z, zenith_colrow)
plot(caim$Blue, col = seq(0,1,1/255) %>% grey())
m <- !is.na(caim$Red) & !is.na(z)
plot(m, add = TRUE, alpha = 0.3, legend = FALSE)
# ============================
# Restricted View Canopy Photo
# ============================
path <- system.file("external/APC_0020.jpg", package = "rcaiman")
caim <- read_caim(path)
plot(caim)
caim <- normalize(caim)
diameter <- calc_diameter(lens(), sqrt(nrow(caim)^2 + ncol(caim)^2)/2, 90)
z <- zenith_image(diameter, lens())
caim <- expand_noncircular(caim, z, c(ncol(caim)/2, nrow(caim)/2))
m <- !is.na(caim$Red)
a <- azimuth_image(z)
caim[!m] <- 0
z <- normalize(z, 0, 90) * 30.15 #60.3ยบ diagonal FOV according to metadata
plot(caim$Blue, col = seq(0,1,1/255) %>% grey())
m <- !is.na(caim$Red) & !is.na(z)
plot(m, add = TRUE, alpha = 0.3, legend = FALSE)
## End(Not run)
[Package rcaiman version 1.2.2 Index]