rayrender (version 0.4.0)

segment: Segment Object

Description

Similar to the cylinder object, but specified by start and end points.

Usage

segment(start = c(0, -1, 0), end = c(0, 1, 0), radius = 1,
  phi_min = 0, phi_max = 360, material = lambertian(),
  velocity = c(0, 0, 0), flipped = FALSE, scale = c(1, 1, 1))

Arguments

start

Default `c(0, -1, 0)`. Start point of the cylinder segment, specifing `x`, `y`, `z`.

end

Default `c(0, 1, 0)`. End point of the cylinder segment, specifing `x`, `y`, `z`.

radius

Default `1`. Radius of the segment.

phi_min

Default `0`. Minimum angle around the segment.

phi_max

Default `360`. Maximum angle around the segment.

material

Default lambertian.The material, called from one of the material functions lambertian, metal, or dielectric.

velocity

Default `c(0, 0, 0)`. Velocity of the segment.

flipped

Default `FALSE`. Whether to flip the normals.

scale

Default `c(1, 1, 1)`. Scale transformation in the x, y, and z directions. If this is a single value, number, the object will be scaled uniformly. Notes: this will change the stated start/end position of the segment. Emissive objects may not currently function correctly when scaled.

Value

Single row of a tibble describing the segment in the scene.

Examples

# NOT RUN {
#Generate a segment in the cornell box. 
# }
# NOT RUN {
generate_cornell() %>%
  add_object(segment(start = c(100, 100, 100), end = c(455, 455, 455), radius = 50)) %>%
  render_scene(lookfrom = c(278, 278, -800) ,lookat = c(278, 278, 0), fov = 40, 
               ambient_light = FALSE, samples = 400, parallel = TRUE, clamp_value = 5)
# }
# NOT RUN {
# Draw a line graph representing a normal distribution, but with metal:
xvals = seq(-3, 3, length.out = 30)
yvals = dnorm(xvals)

scene_list = list()
for(i in 1:(length(xvals) - 1)) {
  scene_list[[i]] = segment(start = c(555/2 + xvals[i] * 80, yvals[i] * 800, 555/2),
                            end = c(555/2 + xvals[i + 1] * 80, yvals[i + 1] * 800, 555/2),
                            radius = 10,
                            material = metal())
}
scene_segments = do.call(rbind,scene_list)
# }
# NOT RUN {
generate_cornell() %>% 
  add_object(scene_segments) %>%
  render_scene(lookfrom = c(278, 278, -800) ,lookat = c(278, 278, 0), fov = 40, 
               ambient_light = FALSE, samples = 400, parallel = TRUE, clamp_value = 5)
# }
# NOT RUN {
#Draw the outline of a cube:

cube_outline = segment(start = c(100, 100, 100), end = c(100, 100, 455), radius = 10) %>%
  add_object(segment(start = c(100, 100, 100), end = c(100, 455, 100), radius = 10)) %>%
  add_object(segment(start = c(100, 100, 100), end = c(455, 100, 100), radius = 10)) %>%
  add_object(segment(start = c(100, 100, 455), end = c(100, 455, 455), radius = 10)) %>%
  add_object(segment(start = c(100, 100, 455), end = c(455, 100, 455), radius = 10)) %>%
  add_object(segment(start = c(100, 455, 455), end = c(100, 455, 100), radius = 10)) %>%
  add_object(segment(start = c(100, 455, 455), end = c(455, 455, 455), radius = 10)) %>%
  add_object(segment(start = c(455, 455, 100), end = c(455, 100, 100), radius = 10)) %>%
  add_object(segment(start = c(455, 455, 100), end = c(455, 455, 455), radius = 10)) %>%
  add_object(segment(start = c(455, 100, 100), end = c(455, 100, 455), radius = 10)) %>%
  add_object(segment(start = c(455, 100, 455), end = c(455, 455, 455), radius = 10)) %>%
  add_object(segment(start = c(100, 455, 100), end = c(455, 455, 100), radius = 10))

# }
# NOT RUN {
generate_cornell() %>%
  add_object(cube_outline) %>%
  render_scene(lookfrom = c(278, 278, -800) ,lookat = c(278, 278, 0), fov = 40, 
               ambient_light = FALSE, samples = 400, parallel = TRUE, clamp_value = 5)
# }
# NOT RUN {
#Shrink and rotate the cube
# }
# NOT RUN {
generate_cornell() %>%
  add_object(group_objects(cube_outline, pivot_point = c(555/2, 555/2, 555/2),
                           group_angle = c(45,45,45), group_scale = c(0.5,0.5,0.5))) %>%
  render_scene(lookfrom = c(278, 278, -800) ,lookat = c(278, 278, 0), fov = 40, 
               ambient_light = FALSE, samples = 400, parallel = TRUE, clamp_value = 5)
# }