S3D 2008 (at CVPR)

General Chairs
Kostas Daniilidis, U. Penn
Irene Cheng, U. Penn/ U. Alberta

Program Chairs
Jianbo Shi, U. Penn
Philippos Mordohai, U. Penn

Local Chairs
Anup Basu, U. Alberta
Rahul Swaminathan, DTLabs

Organizing Assistants
Lihang Ying, U. Alberta
Ivan Filippov, U. Alberta

Program Committee
Y. Aloimonos, Maryland
P. Boulanger, Alberta
C.M. Brown, Rochester
Y. Le Cunn, UPenn
G.M. Cortelazzo, Padova
L.S. Davis, Maryland
A. El Saddik, Ottawa
D. Forsyth, UIUC
J.-S. Franco, UNC
T. Funkhouser, Princeton
S.B. Gokturk, RIYA.com
R.Goebel, U.Alberta
M. Herbert, CMU
K. Ikeuchi, Tokyo
S. Joshi, Utah
S. Kumar, Google
R. Kumar, Sarnoff
D. Kriegman, San Diego
W. Kropatsch, TU Vienna
J. Malik, Berkeley
G. Medioni, USC
D. Nister, Kentucky
P. Perona, Caltech
M. Pollefeys, UNC
J. Ponce, UIUC
C. Silva, Utah
H. Sawhney, Sarnoff
S. Savarese, UIUC
C. Schmidt, Grenoble
S. Seitz, Washington
A. Shokoufandeh, Drexel
C.V. Stewart, RPI
T. Sziranyi, Budapest
R. Whitaker, Utah
D. Wienshall, Hebrew
A. Zakhor, Berkeley
A. Zisserman, Oxford

iCORE, Alberta
Castle Rock Research

S3D (Search in 3D) 2008: Call for Papers

The S3D Workshop will be held in conjunction with CVPR 2008 at the Egan Convention Center in Anchorage, Alaska, on June 27, 2008.

Papers in the workshop program must describe high-quality, original research. Topics of interest include all aspects of, and areas related to, the following:

Final Program (June 27 Friday)

TimePaper TitleAuthors
9:00 Three-Dimensional Point Cloud Recognition via Distributions of Geometric Distances Mona Mahmoudi and Guillermo Sapiro
9:20 3D Shape Matching by Geodesic Eccentricity Adrian Ion, Artner Nicole, Gabriel Peyre, Salvador Lopez, Walter Kropatsch and Laurent Cohen
9:40 A Probabilistic Representation of LiDAR Range Data for Efficient 3D Object Detection Theodore Yapo, Charles Stewart and Richard Radke
10:00 - 10:30 break
10:30 3D Priors for Scene Learning from a Single View Diego Rother, Kedar Patwardhan, Iman Aganj and Guillermo Sapiro
10:50 Exploiting Local and Global Scene Constraints in Modeling Large-Scale Dynamic 3D Scenes from Aerial Video Hao Tang and Zhigang Zhu
11:10 Fusion of Local Appearance with Stereo Depth for Object Tracking Feng Tang, Harville Michael, Hai Tao and Ian Robinson
11:30 3D Model Search and Pose Estimation from Single Images using VIP Features Changchang Wu, Friedrich Fraundorfer, Jan-Michael Frahm Marc Pollefeys
11:50 Multi-scale Interest Regions from Unorganized Point clouds Ranjith Unnikrishnan and Martial Hebert
12:10 - 1:45 lunch break
1:45 Seeing the World Behind the Image: Spatial Layout for 3D Scene Understanding Derek Hoiem, UIUC
2:30 Panel Discussion
3:15 - 3:45 coffee break

Important Dates

Paper Submission Deadline:March 29, 2008
Decisions announced:April 29, 2008
Submission of Final Paper:May 4, 2008
Workshop date:June 27, 2008

Paper Submission

All submissions will be handled electronically. Submission instructions will be posted on the conference website (http://www.cvpr.org/2008/) in due course. Reviewing will be double-blind. In submitting a manuscript to S3D, authors acknowledge that no paper substantially similar in content has been or will be submitted to another conference or workshop during the review period.

Camera-Ready Paper Submission

We are having the publisher (OmniPress) collect all the workshop papers at a centralized website. Once the website is setup, OmniPress will send an e-mail to all of the contact authors with instructions on how to submit their camera-ready papers. Included in each e-mail will be the OmniPress generated import number that each author will need to submit their paper. Also included in each e-mail will be instructions about using IEEE PDF eXpress as well as the IEEE electronic copyright.

Post conference research meetings and tours

In addition to the main workshop program, post-conference research meetings and tours in the Canadian mountain parks (Banff/Jasper, Alberta) will be arranged, sponsored in part by Informatics Circle of Research Excellence (iCORE) Alberta. Through these additional meetings we will aim to produce common datasets and benchmarks, summary statements from different groups, and description of application areas.