SYSTEMS AND METHODS FOR VISUALIZING AND MEASURING REAL WORLD 3-D SPATIAL DATA
Systems and methods for viewing and measuring real world 3-D spatial data using corresponding image data and interpolation of low resolution 3-D spatial data is disclosed. Image data and 3-D spatial data are organized as a 3-D polygonal model. The resultant 3-D polygonal model may be viewed, measured or edited efficiently on a computer. The image data and 3-D data are aligned, and a point on the polygonal model may be measured. Additionally, low resolution 3-D spatial data and image data may be combined with high resolution and highly accurate 3-D spatial data and image data. The resultant combination of data sets may then be organized, aligned, viewed, measured or edited in an efficient manner on a computer.
1 . A system for viewing and measuring 3-D spatial data using corresponding image data and interpolation of low resolution 3-D spatial data, comprising:
a processor;
memory in electronic communication with the processor; and
instructions stored in the memory, the instructions being executable to:
align image data and low resolution 3-D spatial data;
view 3-D spatial data and corresponding image data;
organize 3-D spatial data and corresponding image data as a 3-D polygonal model to be viewed, measured or edited in an efficient manner on a computer;
measure a point on the polygonal model consisting of 3-D spatial data and image data.
2 . The system of claim 1 wherein organizing corresponding image data in an efficient manner comprises sizing image data into horizontal and vertical dimensions each being a power of two in size.
3 . The system of claim 2 , wherein sizing image data into horizontal and vertical dimensions each being a power of two in size comprises segmenting image data to smaller sections to efficiently fit in memory on graphics hardware.
4 . The system of claim 1 , wherein organizing 3-D spatial data comprises organizing vertex data as triangular polygon, quad, point list, line list, line strip, triangle list, triangle strip, triangle fan, or other form of 3-D graphics data known to those skilled in the art.
5 . The system of claim 1 , wherein aligning image data and low resolution 3-D spatial data comprises matching the points of image data to 3-D spatial data.
6 . The system of claim 1 , wherein measuring a point on the polygonal model comprises a ray tracing algorithm.
7 . The system of claim 1 , wherein measuring a point on the polygonal model comprises sinc, quadratic, cubic, spline, or other interpolation technique.
8 . The system of claim 1 , wherein 3-D spatial data comprises of a digital elevation model (DEM), a digital terrain model (DTM), contour data, aerial light detection and ranging (LIDAR) scan data, photogrammetric, or other.
9 . The system of claim 1 , wherein image data comprises an orthorectified image, multi-spectral image, IR spectral image, aerial photograph, elevation map, normal map, shadow map, or other data that may be represented visually.
10 . A system for viewing and measuring multiple data sets of high resolution and highly accurate data with low resolution 3-D spatial data and image data, comprising:
a processor;
memory in electronic communication with the processor; and
instructions stored in the memory, the instructions being executable to:
align image data and 3-D spatial data;
view 3-D spatial data and corresponding image data;
organize 3-D spatial data and corresponding image data as a 3-D polygonal model to be viewed, measured or edited in an efficient manner on a computer; and,
measure a point on the polygonal model consisting of 3-D spatial data and image data.
11 . The system of claim 10 , wherein the high resolution, highly accurate 3-D spatial data comprises data acquired from a terrestrial LIDAR scanner.
12 . The system of claim 10 , wherein the high resolution, highly accurate 3-D spatial data comprises 3-D spatial data with corresponding image data.
13 . The system of claim 10 wherein organizing corresponding image data in an efficient manner comprises sizing image data into horizontal and vertical dimensions each being a power of two in size.
14 . The system of claim 13 , wherein sizing image data into horizontal and vertical dimensions each being a power of two in size comprises segmenting image data to smaller sections to efficiently fit in memory on graphics hardware.
15 . The system of claim 10 , wherein organizing 3-D spatial data comprises organizing vertex data as triangular polygon, quad, point list, line list, line strip, triangle list, triangle strip, triangle fan, or other form of 3-D graphics data known to those skilled in the art.
16 . The system of claim 10 , wherein aligning image data and low resolution 3-D spatial data comprises matching the points of image data to 3-D spatial data.
17 . The system of claim 10 , wherein measuring a point on the polygonal model comprises a ray tracing algorithm.
18 . The system of claim 10 , wherein measuring a point on the polygonal model comprises sinc, quadratic, cubic, spline, or other interpolation technique.
19 . The system of claim 10 , wherein the low resolution 3-D spatial data comprises of a digital elevation model (DEM), a digital terrain model (DTM), contour data, aerial light detection and ranging (LIDAR) scan data, photogrammetric, or other.
20 . The system of claim 10 , wherein image data corresponding to low resolution 3-D spatial data comprises an orthorectified image, multi-spectral image, IR spectral image, aerial photograph, elevation map, normal map, shadow map, or other data that may be represented visually.