1. HW01 Eye Detection
Abhishek Bhandwaldar

2. Algorithm
• Step 1 : skin Detection
• Step 2: Eye Localization
• Step 3: Removing Low intensity regions
• Step 4: Eye detection

3. Skin Detection
• Used YCbCr color space
for skin detection.
• Condition to be
satisfied for Skin
detection:
• Cb>=77 & Cb<=127 &
Cr>=133 & Cr<=173

4. Eye Localization
• Assumptions:
• Image has only 1 face
and that it covers more
than 60% of image.
• Crop 60% from top and
then 40% from bottom.

5. Removing Low intensity regions.
• Take sum along column.
• Take threshold as
percentage of
maximum intensity of
all columns
(max(sum(img)))
• Set all pixel less than
threshold to value 255.
Low intensity
column
High intensity
column

6. Result

7. Eye detection
• Invert the image and
calculate intensity
graph.
• Calculate intensity
graph along Column
and Row.
• Points of maximum
intensity are eyes.
Column intensity
Row intensity

8. Failure
• The algorithm will fail if
skin detection
algorithm will fail.
• The intensity graph
generated will give us
not so clear and
separate maximum
values.
• Hence our algorithm
will fail. Failed Intensity graph

9. Thank you