Integrated BIM tools, including Revit, AutoCAD, and Civil 3D
Professional CAD/CAM tools built on Inventor and AutoCAD
Any referenced datasets can be downloaded from "Module downloads" in the module overview.
Transcript
00:00
LUCY KUHNS: Welcome to the managing point cloud
00:02
data in recap course.
00:04
The first objective in this course
00:06
is about structured, non structured,
00:09
and photo captured data.
00:11
This is an overview of the scan to BIM technology
00:14
that we will be showcasing.
00:17
We begin with the capture of the data from the LiDAR or photo
00:22
and then we process the data using recap
00:25
to register, index, crop, and export for use in our design
00:30
solutions, which include infraworks or civil 3D.
00:34
How can we use point cloud data in infrastructure projects?
00:38
We can use the point cloud only, we
00:40
can use it for visualization, measurement,
00:43
or as a design background.
00:45
We can also use it as a basis for feature extraction.
00:50
So we can pull geometry and surface topography
00:53
from the point cloud.
00:55
Or we can use a combination of both in this course,
00:59
we're going to focus on using point cloud data to generate
01:03
meaningful surface topography.
01:06
How is point cloud data created?
01:09
We can create it from LiDAR, which
01:11
is light detection and ranging.
01:13
We can create it from photogrammetry,
01:16
this is the extraction of
01:20
from images.
01:22
Or we can also get point cloud data from GIS repositories.
01:26
This is not a form of creation but it
01:28
is a valuable source where you can find huge amounts of point
01:32
cloud data.
01:33
The recap application has three import modes
01:37
and we're going to be talking about two of them.
01:40
The first is the import of LiDAR point cloud data
01:44
and this is the import from a file.
01:48
The recap import file types represent a wide variety
01:52
from the leading scanning equipment manufacturers
01:56
and also legacy and generic file types.
01:59
You can see these file types in the list
02:02
in the image on the right, it's important to understand
02:05
the recap output file types.
02:08
The RCS file type is the reality capture scan,
02:12
this is a proprietary format that contains the actual point
02:16
cloud data.
02:17
The file size is large because it holds the actual points.
02:21
If you Share Point clouds with others
02:24
you will need to share this file type.
02:27
The RCP file which is the reality capture project
02:31
file it is a much smaller file and it simply
02:35
references the point cloud data files
02:37
but it doesn't contain the actual data.
02:40
So remember, if you share this RCP file
02:43
you must also include the RCS files that
02:48
are referenced in the project.
02:50
If we take a look at the image below we
02:52
can see the huge file size difference
02:54
from the two different file types.
02:57
Now, let's talk about the point cloud data structure.
03:00
It's important to understand the two different structures
03:04
because the features and tools in recap
03:07
depend upon the structure type.
03:09
The two different types are structured and non structured.
03:13
Structured point cloud data comes from fixed origin
03:17
static scanners.
03:20
Here's an example of structured point cloud data in recap.
03:24
The first thing we note are the
03:29
when we click on them we go into the real view.
03:33
The real view is has we are seeing from the scanner
03:37
position.
03:38
The scanner position is also shown
03:40
in the bird's eye view or the aerial view
03:43
in the upper right hand corner.
03:46
When I click back into the 3D view
03:49
this is the actual point cloud data itself.
03:53
Non structured point cloud data is
03:55
scanned data that comes from aerial, mobile, and
03:58
photo-processed data.
04:01
Most infrastructure related data is of the non structured type.
04:06
Here is an example of what non structured scans look
04:10
like in recap.
04:11
The point cloud data came from drone captured imagery
04:15
that was processed from recap photo
04:18
and brought into recap as the point cloud.
04:22
When we zoom in, we can actually see
04:25
the triangular aerial targets that
04:28
were used as the ground control points to create
04:32
accurate and scale data.
04:34
Recap can also process photos to create point cloud data.
04:39
New technologies enable cameras instead
04:42
of expensive and heavy traditional LiDAR scanning
04:45
devices to be used.
04:47
Here's three examples, recap photo processes photo data,
04:53
the three file types that are returned from the processing
04:56
are a TIF file which represents the ortho image and RCS
05:01
file, which is the point cloud data
05:04
and an RCM file which is a photo textured mesh file.
05:10
The photo processing is done in the cloud
05:12
and uses cloud credits based on the number of photos
05:15
uploaded for processing.
05:17
There is a 1,000 photo limit.
05:20
The point cloud data from recap photo
05:23
is of the non structured data type.
05:26
Here is an overview of the process, you upload the photos,
05:30
you add the ground control points,
05:32
and then after processing you receive the RCS
05:37
the RCM and the ortho photo.
05:41
Let's get started with a simple exercise
05:43
to explore the recap basics, will open up an existing recap
05:49
project file.
05:52
Will open up the all drone capture
05:55
and with it opens or browse to the Project Settings
05:60
and will validate that the coordinate system is
06:02
in the Colorado central zone.
06:06
The units are meters and will go to the project navigator
06:11
and will expand the view state's collection
06:14
and the scan locations.
06:17
Will hover over the scan locations
06:19
to see how many millions of points there are in each scan.
06:24
Next, I'm going to click on the top view state
06:27
and we're going to go to the point display.
06:30
The default is in the RGB and I'm going to click on elevation
06:35
and we can see from the legend, the range of elevation
06:38
of our points.
06:40
I'm going to return to the RGB, which is the natural color
06:43
and we're going to look at a couple of the different view
06:46
states.
06:48
At the intersection view we're going
06:51
to look at changing the point cloud density to a one
06:57
pixel display and we're going to check
07:00
the dimensions to validate if the point
07:04
cloud is the right scale.
07:07
When I click on this we have to be
07:09
careful to look for the little red icon
07:13
to disappear which means that we're on top of a point.
07:18
Once I pick the two endpoints I can
07:20
validate that the width across the lanes is about 3.5 meters.
07:26
So we know that this data is in the right scale
07:30
for a metric project.
07:32
I'm going to do the same thing and measure
07:34
the distance of the height of the pedestrian bridge
07:38
above the pavement.
07:46
Seeing that it is about
07:51
So this is a quick introduction to some of the tools
07:54
that you're going to use in recap to validate and visualize
07:58
the data.
08:01
This is the completion of the first objective
08:04
and the next objective is using structure point cloud data.
Video transcript
00:00
LUCY KUHNS: Welcome to the managing point cloud
00:02
data in recap course.
00:04
The first objective in this course
00:06
is about structured, non structured,
00:09
and photo captured data.
00:11
This is an overview of the scan to BIM technology
00:14
that we will be showcasing.
00:17
We begin with the capture of the data from the LiDAR or photo
00:22
and then we process the data using recap
00:25
to register, index, crop, and export for use in our design
00:30
solutions, which include infraworks or civil 3D.
00:34
How can we use point cloud data in infrastructure projects?
00:38
We can use the point cloud only, we
00:40
can use it for visualization, measurement,
00:43
or as a design background.
00:45
We can also use it as a basis for feature extraction.
00:50
So we can pull geometry and surface topography
00:53
from the point cloud.
00:55
Or we can use a combination of both in this course,
00:59
we're going to focus on using point cloud data to generate
01:03
meaningful surface topography.
01:06
How is point cloud data created?
01:09
We can create it from LiDAR, which
01:11
is light detection and ranging.
01:13
We can create it from photogrammetry,
01:16
this is the extraction of
01:20
from images.
01:22
Or we can also get point cloud data from GIS repositories.
01:26
This is not a form of creation but it
01:28
is a valuable source where you can find huge amounts of point
01:32
cloud data.
01:33
The recap application has three import modes
01:37
and we're going to be talking about two of them.
01:40
The first is the import of LiDAR point cloud data
01:44
and this is the import from a file.
01:48
The recap import file types represent a wide variety
01:52
from the leading scanning equipment manufacturers
01:56
and also legacy and generic file types.
01:59
You can see these file types in the list
02:02
in the image on the right, it's important to understand
02:05
the recap output file types.
02:08
The RCS file type is the reality capture scan,
02:12
this is a proprietary format that contains the actual point
02:16
cloud data.
02:17
The file size is large because it holds the actual points.
02:21
If you Share Point clouds with others
02:24
you will need to share this file type.
02:27
The RCP file which is the reality capture project
02:31
file it is a much smaller file and it simply
02:35
references the point cloud data files
02:37
but it doesn't contain the actual data.
02:40
So remember, if you share this RCP file
02:43
you must also include the RCS files that
02:48
are referenced in the project.
02:50
If we take a look at the image below we
02:52
can see the huge file size difference
02:54
from the two different file types.
02:57
Now, let's talk about the point cloud data structure.
03:00
It's important to understand the two different structures
03:04
because the features and tools in recap
03:07
depend upon the structure type.
03:09
The two different types are structured and non structured.
03:13
Structured point cloud data comes from fixed origin
03:17
static scanners.
03:20
Here's an example of structured point cloud data in recap.
03:24
The first thing we note are the
03:29
when we click on them we go into the real view.
03:33
The real view is has we are seeing from the scanner
03:37
position.
03:38
The scanner position is also shown
03:40
in the bird's eye view or the aerial view
03:43
in the upper right hand corner.
03:46
When I click back into the 3D view
03:49
this is the actual point cloud data itself.
03:53
Non structured point cloud data is
03:55
scanned data that comes from aerial, mobile, and
03:58
photo-processed data.
04:01
Most infrastructure related data is of the non structured type.
04:06
Here is an example of what non structured scans look
04:10
like in recap.
04:11
The point cloud data came from drone captured imagery
04:15
that was processed from recap photo
04:18
and brought into recap as the point cloud.
04:22
When we zoom in, we can actually see
04:25
the triangular aerial targets that
04:28
were used as the ground control points to create
04:32
accurate and scale data.
04:34
Recap can also process photos to create point cloud data.
04:39
New technologies enable cameras instead
04:42
of expensive and heavy traditional LiDAR scanning
04:45
devices to be used.
04:47
Here's three examples, recap photo processes photo data,
04:53
the three file types that are returned from the processing
04:56
are a TIF file which represents the ortho image and RCS
05:01
file, which is the point cloud data
05:04
and an RCM file which is a photo textured mesh file.
05:10
The photo processing is done in the cloud
05:12
and uses cloud credits based on the number of photos
05:15
uploaded for processing.
05:17
There is a 1,000 photo limit.
05:20
The point cloud data from recap photo
05:23
is of the non structured data type.
05:26
Here is an overview of the process, you upload the photos,
05:30
you add the ground control points,
05:32
and then after processing you receive the RCS
05:37
the RCM and the ortho photo.
05:41
Let's get started with a simple exercise
05:43
to explore the recap basics, will open up an existing recap
05:49
project file.
05:52
Will open up the all drone capture
05:55
and with it opens or browse to the Project Settings
05:60
and will validate that the coordinate system is
06:02
in the Colorado central zone.
06:06
The units are meters and will go to the project navigator
06:11
and will expand the view state's collection
06:14
and the scan locations.
06:17
Will hover over the scan locations
06:19
to see how many millions of points there are in each scan.
06:24
Next, I'm going to click on the top view state
06:27
and we're going to go to the point display.
06:30
The default is in the RGB and I'm going to click on elevation
06:35
and we can see from the legend, the range of elevation
06:38
of our points.
06:40
I'm going to return to the RGB, which is the natural color
06:43
and we're going to look at a couple of the different view
06:46
states.
06:48
At the intersection view we're going
06:51
to look at changing the point cloud density to a one
06:57
pixel display and we're going to check
07:00
the dimensions to validate if the point
07:04
cloud is the right scale.
07:07
When I click on this we have to be
07:09
careful to look for the little red icon
07:13
to disappear which means that we're on top of a point.
07:18
Once I pick the two endpoints I can
07:20
validate that the width across the lanes is about 3.5 meters.
07:26
So we know that this data is in the right scale
07:30
for a metric project.
07:32
I'm going to do the same thing and measure
07:34
the distance of the height of the pedestrian bridge
07:38
above the pavement.
07:46
Seeing that it is about
07:51
So this is a quick introduction to some of the tools
07:54
that you're going to use in recap to validate and visualize
07:58
the data.
08:01
This is the completion of the first objective
08:04
and the next objective is using structure point cloud data.
Task 2: Use Project Navigation panel
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