master thesis / diplomarbeit - universität siegen

1
German Research Foundation (DFG) Research Traning Group Grk 1564 Introduction The limited dynamic range (DR) of conventional digital cameras is a well-known problem. Since real scenes can exhibit an enormous DR, for a certain exposure time, part of the scene information is lost due to the combined effect of pixel saturation and noise. A common solution to the problem is to apply High Dynamic Range (HDR) techniques over several images acquired using different exposure times. These techniques increase the total exposure time, reducing the frame rate of the system. A hardware solution requiring a single acquisition is highly desirable. Master Thesis / Diplomarbeit Your Mission Get the basic knowledge about Compressive Sensing and ToF cameras and be familiar with their peculiarities and limitations. Implement an optical hardware modification (translucent mask) that allows applying different attenuations to each pixel. Perform research on the best algorithm to recover an extended-DR image from few measurements. Evaluate and characterize the performance of the novel hardware-based HDR ToF camera in real scenes. ! ! ! ! PMD-based ToF ToF imaging systems emit light to over scene and estimate the depth by measuring the time the signal needs to come back to the camera. The PMD chip utilizes modulated light and estimates the depth by measuring the difference of phase between emitted and received signals. Prerequisites Basic knowledge of image processing and algorithm design. Knowledge and broad experience in typical programming languages. Minimally C++ and Matlab. Basic background in optics and imaging systems. ! ! ! ! ! Background in computer vision and experience using computer vision tools (e.g., OpenCV). Basic knowledge of Image Compression methods and Compressive Sensing theory. Example: Original DR vs. Extended DR The original depth image (left) is exposed to capture the background and gets saturation for close objects, damaging the depth estimation. The HDR result (right) offers high depth accuracy all along the scene at the cost of multiple exposure times. Current Research Time-of-Flight (ToF) cameras using the Photonic Mixer Device (PMD) also exhibit low DR. The PMD Supression of Background Illumination (SBI) system allows avoiding pixel saturation. Exposure time-based HDR has been successfully applyied to PMD data. ! ! ! Miguel Heredia [email protected] www.zess.uni-siegen.de Room: Pb-H 009 Paul-Bonatz-Str. 9-11 57076 Siegen, Germany

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Miguel [email protected]

Room: Pb-H 009Paul-Bonatz-Str. 9-1157076 Siegen, Germany

German Research Foundation (DFG)Research Traning Group

Grk 1564

Introduction

The limited dynamic range (DR) of conventional digital

cameras is a well-known problem. Since real scenes can

exhibit an enormous DR, for a certain exposure time, part

of the scene information is lost due to the combined

effect of pixel saturation and noise. A common solution to

the problem is to apply High Dynamic Range (HDR)

techniques over several images acquired using different

exposure times.

These techniques increase the total exposure time,

reducing the frame rate of the system. A hardware

solution requiring a single acquisition is highly desirable.

Master Thesis / Diplomarbeit

Your Mission

Get the basic knowledge about Compressive

Sensing and ToF cameras and be familiar with their

peculiarities and limitations.

Implement an optical hardware modification

(translucent mask) that allows applying different

attenuations to each pixel.

Perform research on the best algorithm to recover

an extended-DR image from few measurements.

Evaluate and characterize the performance of the

novel hardware-based HDR ToF camera in real

scenes.

!

!

!

!

PMD-based ToFToF imaging systems emit light to over scene and

estimate the depth by measuring the time the signal

needs to come back to the camera.

The PMD chip utilizes modulated light and estimates

the depth by measuring the difference of phase

between emitted and received signals.

PrerequisitesBasic knowledge of image processing and

algorithm design.

Knowledge and broad experience in typical

programming languages. Minimally C++ and

Matlab.

Basic background in optics and imaging

systems.

!

!

!

!

!

Background in computer vision and experience

using computer vision tools (e.g., OpenCV).

Basic knowledge of Image Compression

methods and Compressive Sensing theory.

Example: Original DR vs. Extended DR

The original depth image (left) is exposed to capture

the background and gets saturation for close

objects, damaging the depth estimation. The HDR

result (right) offers high depth accuracy all along the

scene at the cost of multiple exposure times.

Current Research

Time-of-Flight (ToF) cameras using the Photonic

Mixer Device (PMD) also exhibit low DR.

The PMD Supression of Background Illumination

(SBI) system allows avoiding pixel saturation.

Exposure time-based HDR has been successfully

applyied to PMD data.

!

!

!

Miguel [email protected]

Room: Pb-H 009Paul-Bonatz-Str. 9-1157076 Siegen, Germany