Guest lectures

Time: 14.09.2018, 10:00
Location: Room 073 in the Fraunhofer IGD, Fraunhoferstrasse 5, S3|05
Speaker: Prof. Dr. Yasuyuki Matsushita      
Graduate School of Information Science and Technology, Osaka University
Title: "Semi-calibrated Photometric Stereo"
Abstract: 3D shape acquisition from images is of broad interest in computer vision and relevant industry applications. This talk introduces a "photometric" approach to high-fidelity 3D reconstruction, which enables shape recovery at the pixel-level detail. Specifically, this talk covers photometric stereo that takes as input images taken under different illumination conditions and estimates surface normal per-pixel. We introduce a new "semi-calibrated" photometric stereo, which is in-between calibrated and uncalibrated ones, and show that requirement about the light calibration for the conventional calibrated photometric stereo can be relaxed.
Bio: Yasuyuki Matsushita received his B.S., M.S. and Ph.D. degrees in EECS from the University of Tokyo in 1998, 2000, and 2003, respectively. From April 2003 to March 2015, he was with Visual Computing group at Microsoft Research Asia. In April 2015, he joined Osaka University as a professor. His research area includes computer vision, machine learning and optimization. He is on the editorial board of IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), International Journal of Computer Vision (IJCV) and Encyclopedia of Computer Vision. He served/is serving as a Program Co-Chair of ACCV 2012, ICCV 2017, and a General Co-Chair for ACCV 2014 and ICCV 2021. He is a senior member of IEEE.

Speaker: Hiroaki Santo      
Graduate School of Information Science and Technology, Osaka University
Title: "Light Structure from Pin Motion"
Abstract: We present a practical method for the geometric calibration of point light sources which is based on a Lambertian plane and small needle pins at unknown positions that cast shadows on the plane. We show an interesting mathematical connection between pinhole cameras and point light sources which, combined with bundle adjustment, enables us to simultaneously estimate the point light position and the pin positions only from the observed shadow positions. This is directly analogous to traditional structure from motion where camera positions and 3D feature positions are estimated only from observed 2D feature positions
Our evaluation on simulated and real scenes shows that our method yields light estimates that are stable and more accurate than existing techniques while having a considerably simpler setup and requiring less manual labor.
Bio: Hiroaki Santo obtained his bachelor's and master's degree in computer science from Osaka University, Japan and is currently pursuing his PhD degree in Yasuyuki Matsushita's computer vision lab at Osaka University. His research interests are mainly in photometric stereo and machine learning.

Thesis presentations

Time: 14.09.2018, 15:00
Location: Room 324 in the Fraunhofer IGD, Fraunhoferstrasse 5, S3|05
Speaker: Maximilian Müller (Advisor: Jürgen Bernard)
Title: "Explorative Analyse von Multimodalen Patientendaten zur Erstellung und zum Visuellen Vergleich von Mehreren Patientenkohorten" (Master thesis)
Abstract: Maximilian Müller hat sich in seiner Masterarbeit 2 Kernproblemen bei der Analyse von Patientenhistorien gewidmet. Zum einen weist jede Patientenhistorie einen individuellen zeitlichen Verlauf auf, was die Selektion von Patientenkohorten erschwert. Zum anderen werden Patientenhistorien häufig durch eine ganze Reihe von Attributen charakterisiert, motiviert durch die Hoffnung der Ärzte auf neue, unerforschte Zusammenhänge in den Daten zu stoßen.
Der Ansatz von Maximilian Müller sieht drei Beiträge vor. Zum einen soll durch die gemeinsame visuell-interaktive Betrachtung von temporalen und multimodalen Eigenschaften von Patientendaten die Identifikation und Selektion Kohorten ermöglicht/vereinfacht werden. Weiter wird durch ein visuell-interaktives Interface der Vergleich temporaler und multimodaler Eigenschaften von Patientenkohorten möglich. Schließlich stellt Maximilian ein visuell-interaktives Werkzeug für die Erkennung und Analyse von Relationen zwischen temporalen und multimodalen Eigenschaften von Patientenhistorien vor.


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