Presentation is loading. Please wait.

Presentation is loading. Please wait.

Sehoon Ha John Turgeson Karthik Raveendran.

Published byAlexia Lyons Modified over 9 years ago

Similar presentations

Presentation on theme: "Sehoon Ha John Turgeson Karthik Raveendran."— Presentation transcript:

1 Sehoon Ha John Turgeson Karthik Raveendran

2

3

4

5 Diffuse component Distance from camera Mean curvature Distance to closest edge Is the closest edge a silhouette edge?

6 Intensity Brush Size Brush direction Brush Type Solid Line – uses mouse velocity to determine hatching  Diagonals (forward, backword, cross)  Stripes (horizontal, vertical)  Cross Image from: http://bradalbright.blogspot.com/

7 Neural Network (3 layers, 13-15 hidden neurons) kNN (5 neighbors)

8

9

10

11

12

13

14

15

16

17

18

19

20

21

22  Successful synthesis of images after learning the style of an artist  Neural networks produce more consistent results compared kNN

23  Thank you for coming to the last day of talks!

Download ppt "Sehoon Ha John Turgeson Karthik Raveendran."

Similar presentations

Technical Drawing Topic E: Sketching.

Technical Drawing Topic E: Sketching.
Memristor in Learning Neural Networks

Memristor in Learning Neural Networks
Introduction to Neural Networks 2. Overview  The McCulloch-Pitts neuron  Pattern space  Limitations  Learning.

Introduction to Neural Networks 2. Overview  The McCulloch-Pitts neuron  Pattern space  Limitations  Learning.
$100 $200 $300 $400 $500 $100 $200 $300 $400 $500 $100 $200 $300 $400 $500 $100 $200 $300 $400 $500 $100 $200 $300 $400 $500 $100 $200 $300.

$100 $200 $300 $400 $500 $100 $200 $300 $400 $500 $100 $200 $300 $400 $500 $100 $200 $300 $400 $500 $100 $200 $300 $400 $500 $100 $200 $300.
Salvatore giorgi Ece 8110 machine learning 5/12/2014

Salvatore giorgi Ece 8110 machine learning 5/12/2014
Visualisation of head.txt. Data capture Data for the head figure was captured by a laser scanner. The object is mounted on a turntable, and illuminated.

Visualisation of head.txt. Data capture Data for the head figure was captured by a laser scanner. The object is mounted on a turntable, and illuminated.
Key Terms Line Dimension Implied line Value Cross hatching Gesture.

Key Terms Line Dimension Implied line Value Cross hatching Gesture.
ADEMA. Hue is -180 HUE EXAMPLE 1 Hue is +31 HUE EXAMPLE 2.

ADEMA. Hue is -180 HUE EXAMPLE 1 Hue is +31 HUE EXAMPLE 2.
 Next - Previous  Horizontal Bar  Vertical Menu.

 Next - Previous  Horizontal Bar  Vertical Menu.
Numbers. 1 2 3 4 5 6 7 8 9 10 11 12 13.

Numbers
Image Quilting for Texture Synthesis and Transfer Alexei A. Efros1,2 William T. Freeman2.

Image Quilting for Texture Synthesis and Transfer Alexei A. Efros1,2 William T. Freeman2.
Suggestive Contours Final programming assignment Advanced topics in Computer Graphics.

Suggestive Contours Final programming assignment Advanced topics in Computer Graphics.
Lesson 2: Reflecting Shapes. When Doing Reflections… You use a line of reflection No matter where the shape is in relation to the line of reflection,

Lesson 2: Reflecting Shapes. When Doing Reflections… You use a line of reflection No matter where the shape is in relation to the line of reflection,
Instance-Based Learners So far, the learning methods that we have seen all create a model based on a given representation and a training set. Once the.

Instance-Based Learners So far, the learning methods that we have seen all create a model based on a given representation and a training set. Once the.
Words may be in any direction: Horizontal, diagonal, vertical, reverse.

Words may be in any direction: Horizontal, diagonal, vertical, reverse.
LINE Element of Art.

LINE Element of Art.
Line is used to show texture, movement, and direction.

Line is used to show texture, movement, and direction.
By Meidika Wardana Kristi, NRP 26406147.  Digital cameras used to take picture of an object requires three sensors to store the red, blue and green color.

By Meidika Wardana Kristi, NRP  Digital cameras used to take picture of an object requires three sensors to store the red, blue and green color.
$100 $200 $300 $400 $500 $100 $200 $300 $400 $500 $100 $200 $300 $400 $500 $100 $200 $300 $400 $500 $100 $200 $300 $400 $500 $100 $200 $300.

$100 $200 $300 $400 $500 $100 $200 $300 $400 $500 $100 $200 $300 $400 $500 $100 $200 $300 $400 $500 $100 $200 $300 $400 $500 $100 $200 $300.
Explorations in Neural Networks Tianhui Cai Period 3.

Explorations in Neural Networks Tianhui Cai Period 3.

Similar presentations

Ads by Google