[4eyes] Fwd: [COLLOQUIA] TOMORROW: Colloquium Giljoo Nam Tuesday, October 8th HFH 1132 11AM

[Pradeep Sen]

Just a friendly reminder that Lingqi is hosting a visitor today who will be giving a talk on inverse rendering at 11am. See abstract below.

Best,

-Pradeep

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Pradeep Sen
Professor
UCSB MIRAGE Lab
Dept. of Electrical & Computer Engineering
University of California, Santa Barbara
Santa Barbara, CA 93106-9560

Begin forwarded message:

> From: Samantha Oglesby <svoglesby at cs.ucsb.edu>
> Date: October 7, 2019 at 10:30:38 AM PDT
> To: CS Faculty <faculty at lists.cs.ucsb.edu>, grads at lists.cs.ucsb.edu, lecturers at lists.cs.ucsb.edu, research at lists.cs.ucsb.edu, colloquia at lists.cs.ucsb.edu
> Subject: [COLLOQUIA] TOMORROW: Colloquium Giljoo Nam Tuesday, October 8th HFH 1132 11AM
> 
> Colloquium
> Giljoo Nam 
> Tuesday, October 8th
> HFH 1132 11:00 AM
> Host: Lingqi Yan
> 
> Abstract: 
> 
> Rendering refers to a process of creating digital images of an object or a scene from 3D data using computers and algorithms. Inverse rendering is the inverse process of rendering, i.e., reconstructing 3D data from 2D images. The 3D data to be recovered can be 3D geometry, reflectance of a surface, camera viewpoints, or lighting conditions.
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> In this talk, I will discuss three inverse rendering problems. First, inverse rendering using flash photography captures 3D geometry and reflectance of a static object using a single camera and a flashlight attached to the camera. An alternating and iterative optimization framework is proposed to jointly solve for several unknown properties such as 3D geometry and reflectance. Second, inverse rendering at microscale reconstructs 3D normals and reflectance of a surface at microscale. A specially designed acquisition system, as well as an inverse rendering algorithm for microscale material appearance, are proposed. Lastly, inverse rendering for human hair describes a novel 3D reconstruction algorithm for modeling high-quality human hair geometry. I believe that our work on these advanced inverse rendering problems will boost hyper-realism in computer graphics.
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> Profile:
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> Giljoo Nam is a Ph.D. candidate at KAIST (expected to graduate in Aug. 2019) and a recipient of SIGGRAPH 2019 Doctoral Consortium Award. His doctoral research focuses on inverse rendering and image-based modeling for realistic computer graphics. In particular, he has been working on high-quality 3D reconstruction and material appearance modeling. His work on image-based appearance modeling was selected as Technical Papers Press Release in SIGGRAPH Asia 2018 and was introduced in impactful media including Government Computer News, EurekAlert, Digital Journal, and E&T Magazine.
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