Bloom Cloud Engine
UI/UX concepts for Bloom Cloud Engine
- Command Engine: Enter any logical name to access a tool
- "move" to access Transform Tool
- "in" for inch units
- Follows What-you-see-is-what-you-get (wysiwyg), so tools process what you see in the graphics window
- Drag & Drop any file to import
- Default Tool: Object Select (use the esc key)
- Selection-Action, select objects or points then choose a tool or a command
- Object Transforms by tree, branch and leaf (use groups to manipulate sets as one object)
In the Graphics Window
- 360 Images, 3d Point Clouds or CAD models
- Left Mouse Button Mapping: Object/Point selection
- Ctrl+Left Mouse Button: Camera Orbit
- Middle Mouse Menu Mapping: Camera Pan
- Right Mouse Button Mapping: Camera Orbit
- Context Menus Graphics Window: Access with "long press" Left Mouse Button
- Space Bar to reset view (repeat Space Bar for north, east, west & south)
In the Object List
- Cycle through 360 views and point cloud
- Arrow Keys navigate the Object List
- Context Menus Object List: Access with "long press" Right Mouse Button
Quick Start guide for working with Bloom Cloud Engine
Step 1: Import your point cloud data.
- Start by setting the "Root Folder". All projects are saved under the root folder shown in the Desktop Manager (review the performance section regarding management of root folder).
- Add raw scan data files using the Import Tool or Drag & Drop method.
- Organize your scan data by groups in the Object List
Step 2: Register your scan data.
- Complete scan-to-scan registration
- If your scan data is pre-registered continue to next step
- Add the Project Coordinates
- Import a CAD model with project coordinates
- Move and align your scan data to the CAD model
- Import Survey data with project coordinates
- Register your scan data using the survey control points
Step 3: Clean your scan data.
- Select and delete outlier points
- Select outlier point with command: "MakeNormal -t selected --select_isolated"
- Select and delete points by property: radius, zenith angle, intensity
Step 4: Working with point cloud data
- Create optimized (unified) point models from raw scan data