Schneiderman, H. and Kanade, T. Object Detection Using the Statistics of Parts,

Viola, P. and Jones Robust Real-time Object Detection,

Andrew Gallagher

Dataset

• 16 images. 8 from my databases, and 8 from Flickr.

• Large ethnic, gender and age variety.

• 98 total faces. 66 “frontal” 32 profile.

Test

• The Viola Jones algorithm OpenCV implementation was used. (<2 sec per image).

• For Schneiderman Kanade, the www.pittpatt.com demo was used. (~10-15 seconds per image, including web transmission).

Results

• The Schneiderman-Kanade is very good and definitely out-performs Viola-Jones. (higher detection rate and lower FP simultaneously).

Ground Truth

OpenCV

FrontalDefault

OpenCV

ProfileFace

OpenCV Frontal Alt Tree

PittPatt

T=1

PittPatt

T=3

Frontal 66 40 20 36 59 55

Profile 32 9 3 3 23 10

False Positive

-- 24 7 2 22 0

Example Images

SchneidermanKanadeViola

Jones

Example Images

ViolaJones

SchneidermanKanade

Example Images

SchneidermanKanadeViola

Jones

SchneidermanKanadeViola

Jones

Example Images

ViolaJones

SchneidermanKanade