Face recognition using Local Binary Patterns Histograms (LBPH) on an FPGA-based

System on Chip (SoC)

Nikolaos Stekas 1, Dirk van den Heuvel 2

1. Delft University of Technology, Delft, Netherlands2. TOPIC Embedded Products*, Best, Netherlands

*info@TopicProducts.com

Face Recognition

ID: 5235

• Evolution and Importance

• Challenges

Real Time Execution

High Recognition Accuracy

…LBPInput Image

Regions HIGH ACCURACY

SMALL DATABASE

SIMPLE COMPUTATIONS

Input Face Image Feature ExtractionDatabase Features

ComparisonRecognition

• LBPH

• Manhattan Distance

Δ = | x - y |

Implementation• Platform

• System Overview

Implementation• Platform

• System Overview

FPGA ACCELERATION

ARM SIMPLICITY

Results

0

2

4

6

8

10

12

14

16

18

LBPH MD Overall Real-Time

Exec

uti

on

Tim

e (m

s)

2.602

17

25.9

0

5

10

15

20

25

30

Current Work CUDA OpenCL

Exec

utu

ion

Tim

e (m

s)

1. Execution Time

2. Accuracy 3. Utilization

Thank you!

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