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CSE 455 Computer Vision Autumn 2014

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1 CSE 455 Computer Vision Autumn 2014
Professor Linda Shapiro TA: Ezgi Mercan TA: Bilge Soran

2 Introduction What IS computer vision?
Where do images come from? The analysis of digital images by a computer You tell me!

3 Applications: Medical Imaging
CT image of a patient’s abdomen liver kidney kidney

4 Visible Man Slice Through Lung

5 of the Blood Vessel Tree
3D Reconstruction of the Blood Vessel Tree

6 Robotics 2D Gray-tone or Color Images 3D Range Images What am I?
“Mars” rover What am I?

7 Robot Soccer

8 Google Driverless Car

9 Image Databases: Images from my Ground-Truth collection:
Retrieve images containing trees

10 Some Features for Image Retrieval
Original Images Color Regions Texture Regions Line Clusters

11 Documents:

12

13 Science Previous Classification Results: Calineuria (Cal)
Doroneuria (Dor) Yor (Yor) Previous Classification Results: Classified as Cal as Yor Cal 171 16 Yor 99 Classified as Cal as Dor Cal 114 72 Dor 70 133 UW and Oregon State University

14 Soil Mesofauna TraychetesA XenillusA ZyqoribafulaA AchipteriaA
BdellozoniumI BelbaA BelbaI CatoposurusA EniochthoniusA PtenothrixV PtiliidA HypochthoniusLA EntomobrgaTM EpidamaeusA EpilohmanniaA EpilohmanniaD EpilohmanniaT QuadroppiaA HypogastruraA LiacarusRA MetrioppiaA IsotomaVI NothrusF IsotomaA onychiurusA TomocerusA PlatynothrusF OppiellaA SiroVI PeltenuialaA PhthiracarusA PlatynothrusI

15 Surveillance: Event Recognition
in Aerial Videos Original Video Frame Color Regions Structure Regions

16 2D Face Detection

17 Face Recognition Glasgow University

18 2D Object Recognition from “Parts”
Oxford University

19 Graphics: Special Effects
Andy Serkis, Gollum, Lord of the Rings

20 3D Reconstruction and Graphics Viewer

21 3D Craniofacial Shape Analysis
from Meshes of Children’s Heads

22 Digital Breast Biopsy Image Showing Regions of Interest

23 Digital Image Terminology:
pixel (with value 94) its 3x3 neighborhood region of medium intensity resolution (7x7) binary image gray-scale (or gray-tone) image color image multi-spectral image range image labeled image

24 The Three Stages of Computer Vision
low-level mid-level high-level image image image features features analysis

25 Low-Level sharpening blurring

26 Low-Level Mid-Level Canny original image edge image ORT data structure
circular arcs and line segments

27 Mid-level K-means clustering (followed by connected component
analysis) regions of homogeneous color original color image data structure

28 Low- to High-Level edge image consistent line clusters
low-level edge image mid-level consistent line clusters high-level Building Recognition


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