Nov Visualization with 3D CG

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Presentation transcript:

Nov. 2015 Visualization with 3D CG 3D Digitization Masaki Hayashi

Photogrammetry (break) Today’s contents Laser scanning Photogrammetry (break) Agisoft “Photoscan”

Laser scanning

Range: Very small object (eg. tooth), Middle (eg. Laser scanning Range: Very small object (eg. tooth), Middle (eg. Statue), Very large (eg. ruin, city landscape) + Aerial (Huge area) Output: 3D point cloud, basically. x, y, z coordinates + I(intensity) + r, g, b(color)

Short-range ( < 1 m ) Laser triangulation Structured light How does 3D Scanner work? Short-range ( < 1 m ) Laser triangulation Structured light Middle-range (10m) Travel Of Light (TOL): Phase shift Long-range ( > 100m ) Travel Of Light (TOL): Pulse

Short-range ( < 1 m ) Laser triangulation Structured light Laser Lens Sensor Triangulation Known (L) Object Measured Measured (β) (α) Structured light (D) (more accurate) Linear patterns Sensor Calculated by 3 values Lens L sinβ sin (α + β) D = Object

Long-range ( 100 m ) TOL (Travel Of Light) Measure the TOL Laser c (m/sec) = 299,792,458 Sensor Lens Object Out Out In In TOL TOL (phase) Pulse modulation Phase modulation (more accurate)

Laser scanning Multiple measurements: Compensation of the shadow Planning: Locations Angle of view Resolution

Laser scanning Error: Beam expansion Spot diameter is bigger when range is bigger e.g. 12mm at 5m  97mm at 500m Depending on material Diffuse on the surface (clod, solid, reflective…) Angle of the beam when the beam strikes the surface

Laser scanning Example video http://youtu.be/YpcGmh85Hes Minolta-Konica Vivid 9i

Laser scanning Some scenes

Photogrammetry

Range: Almost same as scanner Small object (eg. vase), Middle (eg. Photogrammetry Range: Almost same as scanner Small object (eg. vase), Middle (eg. Statue), Very large (eg. ruin, city landscape) + Aerial (Huge area) Output: 3D point cloud + Color x, y, z + r, g, b Good point: Texture color is more realistic. Bad point: More errors.

How does photogrammetry work? Camera Camera 3D position can be calculated if the camera parameters are known by triangulation Object Camera parameter: x, y, z, rx, ry, rz, AngleOfView Known points (Feature point) All the calculation is automatically done at a time Don’t get the software confused to get feature points.

Photogrammetry What the software does first is: error Uses image processing algorythm to get as much feature points on a given images. Searches the corresponding feature points automatically. Generally, it produces a lot of errors.

Recent tech Better Reality : Thorskan https://youtu.be/S06y8Va68XE https://youtu.be/qvktv0orPZM

Recent tech