Surface Reconstruction from Point Clouds

Surface Reconstruction From Point Clouds-ppt Download

  • Date:20 Aug 2020
  • Views:5
  • Downloads:0
  • Size:1.95 MB

Share Presentation : Surface Reconstruction From Point Clouds

Download and Preview : Surface Reconstruction From Point Clouds

Report CopyRight/DMCA Form For : Surface Reconstruction From Point Clouds


Vehicle Recognition SystemGerald DalleySignal Analysis and Machine Perception LaboratoryThe Ohio State University09 May 2002.
Recognition Engine Steps Acquire range images Determine regions of interest see Kanu Local surface estimation Surface reconstruction.
Affinity measure Spectral Clustering Normalized cuts Graph matching Range Image Acquisition Model building Testing.
Local Surface Estimation What 1 Estimate the local surfacecharacteristics 2 at given locations 1 Vehicles are made up of large low order surfaces 1 Look for groups of points that imply such surfaces.
2 Our sets of range images are BIG tank from 10 views has over 220 000 range points How Local Surface Estimation Point Set Selection.
In the region of interest Collect range image points into cubic voxel bins 32x32x32mm right now Discard bins that have Too few points.
Points that do not represent a biquadratic surface well Retain only the centroids of the bins and theirsurface fits Local Surface Estimation Biquadratic Patches.
PCA Least squares biquadratic fit local coordinate system f u v a1u2 a2uv a3v2 a4u a5v a6 Surface Reconstructioncocone Mesh.
See last quarter s presentation for details on cocone Affinity Quasi Definition Affinity probability that two meshpoints were sampled from the same low order surface Why Can use grouping algorithms to segment the mesh.
to make recognition easier Our formulation Affinity Cont d Spectral Clustering Aij is block diagonal Non zero elements of the 1st.
eigenvector define a cluster Weiss Sarkar96 Aij Ayi i yi Spectral Clustering Cont d Example using our data Aij Ayi i yi 1st Cluster.
Spectral Clustering Normalized Cuts Tend to get disjoint clusters Need to balanceclustering and segmentation.
Graph Matching For each model i R For each unused object segment s For each model segment i t NULL segment Compute penalty for matching s to i t .
all previous matches made Save this match if it s better than any other Recurse to R Save the best matching of model and object segmentsfor model i.
Choose the model with the best match Graph Matching Segment Attributes Unary attributes for comparing one object segment to onemodel segment .
Segment area Mean and Gaussian Curvature from a new biquadratic fit to the voxel points participating in the Distinctiveness Binary attributes for comparing a pair of object segments to.
a pair of model segments Centroid separation Angle between normals at the centroid Further Reading Y Weiss et al Segmentation using eigenvectors a unifying view .
ICCV 975 982 1999 S Sarkar and K L Boyer Quantitative measures of change based onfeature organization eigenvalues and eigenvectors CVPR 1996 J Shi and J Malik Normalized Cuts and Image Segmentation PAMI 888 905 2000 .
CVPR 1996. J. Shi and J. Malik. “Normalized Cuts and Image Segmentation”. PAMI: 888-905, 2000. u w Voxel centroids Mesh cocone See last quarter’s presentation for details on cocone qi qj pj mj nj Aij y1, where Ayi=li yi Aij y1, where Ayi=li yi 1st Cluster = ? = ?

Related Presentations


6th Grade Science All types of Clouds How do clouds form? They form as warm air is forced upward, expands, and cools. As the air cools, the amount of water vapor needed for saturation decreases and the relative humidity increases. Formation continued… Water vapor forms tiny droplets around small particles such as dust and salt.

8 Views0 Downloads

Reanalyzed Clouds Precipitation TOA and Surface

Reanalyzed Clouds, Precipitation, TOA and Surface Radiation Budgets: A Global Satellite Comparison and a Regional Study at Two ARM Locations. Erica Dolinar, Xiquan Dong, and Baike Xi. University of North Dakota. Department of Atmospheric Science. 10 December 2014

1 Views0 Downloads

Surface Reconstruction

N. Amenta and Y. Kil. The domain of a point set surface. In Symposium on Point-Based Graphics 2004, 2004. [26] N. Amenta, S.Choi, t. K. Dey, and N. Leekha. A Simple Algorithm for Homeomorphic Surface Reconstruction, International Journal of Computational Geometry and Applications, vol.12 n.1-2, pp.125-141, 2002. [27] Nina Amenta and Marshall Bern.

4 Views0 Downloads

The Power Crust Algorithm for Surface Reconstruction

Theoretical structures and results, and software. Bridging the gap to practice is an ongoing challenge, not necessarily our top priority. Singer/Songwriters Joni Mitchell Singer/Songwriters and Funk Bands Joni Mitchell Surface Reconstruction Mesh Generation Other secondary sources Jonathan Shewchuk lecture notes on mesh generation.

2 Views0 Downloads

Elastic deformation due to surface point load on

Cerruti’s problem. Half space. Hooke’s Law. Conservation of . linear momentum (No material derivative) (No body force) Navier-Cauchy equation . The Galerkin vector: a fictitious “vector” that relates a potential that can be related to displacement with differential operators.

8 Views0 Downloads

Getting From Point A to Point Z Reading Horizons

One of the best ways to ensure students retain and transfer this knowledge is through multi-sensory instruction that connects word form storage areas in the brain, along with memory aids such as chunking the information into groups, and following the same process with the introduction of each letter (e.g., teaching the name, sound and upper and ...

32 Views0 Downloads

Point Point Presentation

Pre-submittal MeetingRequest for QualificationsAugust 22, 2017, 2:00 pmWater Main Replacement ABB: Camelback Road to Missouri Avenue and12th Street to 16th StreetProject Number WS85509015-1Construction Manager at Risk Services. Welcome and Introductions. Cathie Rodman, Contracts Specialist.

24 Views0 Downloads

Point to Point Links

The main difference between the two mobile telephone systems (1G and 2G), is that the radio signals used by 1G networks are analog, while 2G networks are digital An analog signal is any continuous signal for which the time varying feature (variable) of the signal is a representation of some other time varying quantity, i.e., analogous to ...

7 Views0 Downloads

Getting from Point A to Point B Creating Good Transitions

Example: Friends shows the lives of six friends. It shows how they interact with each other. Friends shows the lives of six friends. Consequently, it shows how they interact with each other. Pop Quiz 1. Transitions link sentences and paragraphs smoothly (True/False). A transition can only be a single word (True/False).

2 Views0 Downloads

DPR311 Combining Public and Private Clouds into Useful

An SAP on-premise instance which holds all the actual order history data, plus 2 enterprise LOB apps handling pricing, targeted promotions, & delivery schedules ~1 million customers worldwide. Implementation. Cloud-based Web-enablement of on-premise assets. Windows Azure Web Role (20) + Silverlight. Web services integration via on-premise ESB ...

17 Views0 Downloads

Deploying Private Clouds Lessons Learned from the Windows

Deploying Private Clouds (Lessons Learned from the Windows Server 2012 TAP) ... Software, Web Sites & Marketing Materials, Products & Documentation, Multimedia, eLearning and Training. ... Server applications storing their data files on SMB file shares (UNC paths) Examples: Hyper-V: Virtual Hard Disks (VHD), config., snapshots.

30 Views0 Downloads

Clouds and Security A Practical Open Grid Forum

Open source vs closed source issues …and new security issues (Often) unknown resource location ... Install/patch window …and more new security issues. Over-allocation of dynamic resources. Intentional – scheduling DoS attack (with stolen account) Unintentional – runaway jobs. Cloud security vs Grid security? In some sense, cloud = grid ...

21 Views0 Downloads