Exploring quantum methods for photometric stereo

Activity: Talk or presentation / Lecture › Presentation at a scientific conference / workshop

Description

This work examines the potential of quantum computing for computer vision (CV) using as example the photometric stereo (PS) algorithm. We analyze the time complexity of PS in a quantum algorithm and compare it to classical computing complexity. Additional to the classic PS algorithm, based on known light directions, we explore SDPS-Net for uncalibrated photometric stereo and it’s potential when run on quantum hardware. For both approaches the hardware requirements of a quantum computation are given and steps before and after the result computation taken into account to draw conclusions on current practical applicability.
Period12 Oct 2023
Event titleEMVA Forum 2023: 6th European Machine Vision Forum
Event typeConference
LocationWageningen, NetherlandsShow on map
Degree of RecognitionInternational

Research Field

  • High-Performance Vision Systems

Keywords

  • Computer Vision
  • Photometric Stereo
  • HHL
  • SDPS-Net
  • Quantum Computing
  • Quantum Hardware
  • Quantum Deep Learning