Agricola Board Game
Assist program
Derek Lang
EGGN512 Final Project
Spring 2012
Outline
‣ What is Agricola?
‣ Main tasks
– Creating test images
– Detecting the board
– Detecting tiles
– Detecting player pieces
– Detecting livestock pieces
‣ Issues (so far)
‣ Todo list
What is Agricola?
‣ ‘German-Style’ board game
‣ 12th cent. Farm
management
‣ Complicated scoring
– Based on:
‧
‧
‧
‧
‧
‧
‧
Persons
Livestock
Fields
Pastures
House material
Crops
Other
‣ But we can use these rules
to simplify our algorithms
(Somewhat) typical endgame scenario
Outline
‣ What is Agricola?
‣ Main tasks
– Creating test images
– Detecting the board
– Detecting tiles
– Detecting player pieces
– Detecting livestock pieces
‣ Issues
‣ Todo list
Creating Test Images
‣ 16 JPEG test images taken with DSLR camera
‣ Rectified with image post-processing software
‣ Images taken under similar lighting conditions
Detecting the Board
‣ Markers placed on corners
‣ Detection using narrow-band color threshold
– Similar to detecting CCC markers
‣ Creates correspondence, used to create orthoimage (using matlab’s
cp2tform)
Detecting Tiles - 1
‣ First, the board is broken up into 54 regions
‣ This will make subsequent analysis simpler
Detecting Tiles - 2
‣ 4 types of tiles
‣ SIFT algorithm used with a course Hough space
‣ Simplifications:
– Only check ‘squares’
– Only 1 type of house tile
– Angle of transform close to α*90°
– No ‘full’ transform needed
Detecting Player pieces
‣ Three types – person, stable,
fence
‣ Simplified to one color
‣ Narrow-band color threshold
on regions of interest
‣ Used labeled region
properties to determine
incidence for person & stable
– Centroid, Area
‣ % of total region for fences
‣ Can reduce number of checks
using tile results
Detecting livestock pieces
‣ Three types/colors
‣ Threshold based on HSV
values (similar to before)
‣ Labeled region area used
to determine amount of
pieces detected
‣ Account for pieces
touching
‣ Can reduce checks using
tile results
Outline
‣ What is Agricola?
‣ Main tasks
– Creating test images
– Detecting the board
– Detecting tiles
– Detecting player pieces
– Detecting livestock pieces
‣ Issues
‣ Todo list
Issues - 1
‣ Glare on detecting board
markers
– Ensure even lighting
‣ Problem on SIFT
correspondence
– Modify the template images
Issues - 2
‣ Livestock – Area of a
‘blob’ varies with angle
of original picture
‣ Try to mitigate by
making a total average
within a square
‣ Still an issue – will try
with average over all
squares next
Outline
‣ What is Agricola?
‣ Main tasks
– Creating test images
– Detecting the board
– Detecting tiles
– Detecting player pieces
– Detecting livestock pieces
‣ Issues
‣ Todo list
Todo List - 1
1. Vegetable detection
1.
Similar to player piece/marker detection
2. Pasture detection
Todo list - 2
3. Put everything together – create performance
metric
4. (Optional) Convert to standalone program
Questions?