'Level sets' presentation slideshows

Econ 600: Mathematical Economics

Econ 600: Mathematical Economics. July/August 2006 Stephen Hutton. Why optimization? . Almost all economics is about solving constrained optimization problems. Most economic models start by writing down an objective function. Utility maximization, profit maximization, cost minimization, etc.

2.55k views • 199 slides

Econ 600: Mathematical Economics

Econ 600: Mathematical Economics. July/August 2006 Stephen Hutton. Why optimization? . Almost all economics is about solving constrained optimization problems. Most economic models start by writing down an objective function. Utility maximization, profit maximization, cost minimization, etc.

2.1k views • 199 slides

Advanced Computer Vision

Advanced Computer Vision. Chapter 5 Segmentation. Presented by: ??? & ??? r99922094@ntu.edu.tw 0928083710. Segmentation (1/2). 5.1 Active Contours 5.2 Split and Merge 5.3 Mean Shift and Mode Finding 5.4 Normalized Cuts 5.5 Graph Cuts and Energy-based Methods. Segmentation (2/2).

1.75k views • 69 slides

School of Continuing Studies CS 351: Introduction to Computer Graphics

645 views • 52 slides

Precomputed Global Illumination of Isosurfaces

776 views • 46 slides

Precomputed Global Illumination of Isosurfaces

471 views • 46 slides

Image Segmentation

Image Segmentation . some examples. Zhiqiang wang zwang22@kent.edu. Cell segmentation. Active contour method. image segmentations. Interactive method (graph cut). Other examples. Cell Segmentation. 1st Step: Image resize.

594 views • 44 slides

David E. Keyes Old Dominion University in collaboration with Vivien Mallet

491 views • 42 slides

Interactive GPU-based Segmentation Of Large Volume Data With Level Sets

326 views • 31 slides

Level Sets Framework Refactoring

Level Sets Framework Refactoring. Arnaud Gelas, Kishore Mosaliganti, Nicolas Rannou, Lydie Souhait, Sean Megason Boston 02/03/2011. Outline. Goals Principles Status Traits Fast Marching Image / Mesh Stopping Criterion Constrained Topology Shortest Path Computation

377 views • 25 slides

Outline

Topology based method of segmentation of gray scale images Peter Saveliev Marshall University , USA. Outline. Goal: a graph representation of the topology of a gray scale image. The graph represents the hierarchy of the lower and upper level sets of the gray level function.

363 views • 25 slides

functions of single variables

485 views • 24 slides

iPhone Game: SuperBall 3

197 views • 19 slides

Patch-driven Neonatal Brain MRI Segmentation with Sparse Representation and Level Sets

Patch-driven Neonatal Brain MRI Segmentation with Sparse Representation and Level Sets. Li Wang 1 , Feng Shi 1 , Gang Li 1 , Weili Lin 1 , John H. Gilmore 2 , Dinggang Shen 1 1 Department of Radiology and BRIC, 2 Department of Psychiatry,

335 views • 18 slides

Unsupervised Dynamic Texture Segmentation Using Local Spatiotemporal Descriptors

Unsupervised Dynamic Texture Segmentation Using Local Spatiotemporal Descriptors. Jie Chen University of Oulu, Finland. A demo show. Segmentation of a dynamic texture. Input. Output. Outline. Motivation Related work Our methods Experimental results Conclusion. Dynamic texture.

311 views • 18 slides

334 views • 17 slides

RLE Sparse Level Sets

Fluids and Level Sets Session. RLE Sparse Level Sets. Ben Houston Mark Wiebe Christopher Batty. Level Sets. A level set represents a shape or form implicitly via a scalar function, ? (x), defined over a region, ?. Inside: ? - = { x | ? ( x ) < 0, x elementOf ? }

361 views • 17 slides

Autonomous Direct 3D Segmentation of Articular Knee Cartilage

Autonomous Direct 3D Segmentation of Articular Knee Cartilage. Author :Enrico Hinrichs, Brian C. Lovell, Ben Appleton, Graham John Galloway Source : Australian and New Zealand Intelligent Information Systems , 10-12 December 1(1), pages 417-420, Sydney Speaker : Ren-LI Shen

268 views • 15 slides

Level Sets Framework Refactoring

Level Sets Framework Refactoring. Arnaud Gelas, Kishore Mosaliganti , Sean Megason Harvard Medical School. Framework Enhancements. Different representation Different domains Multiphase ( > 1 levelset) Multichannel ( > 1 channel) General PixelType (vector, tensor, RGB)

145 views • 14 slides

The discrete Laplacian on d-regular graphs : Combinatorics, Random Matrix Theory and Random Waves

The discrete Laplacian on d-regular graphs : Combinatorics, Random Matrix Theory and Random Waves. Chemnitz, July 2011. Uzy Smilansky. Work done with Yehonatan Elon , Idan Oren , and Amit Godel. Trace formulae and spectral statistics for discrete Laplacians on regular graphs ( I, II )

237 views • 12 slides