CVPR 2014 Tutorial

Dense Image Correspondences for Computer Vision

Ce Liu¹   Michael Rubinstein¹   Jaechul Kim²   Zhuowen Tu³   

¹Microsoft Research     ²Amazon     ³UCSD

When

8:30am~5pm, June 23, 2014

Where

C111-112 Columbus Convention Center, Columbus Ohio

Description

Correspondence, namely how pixels in one image correspond to pixels in another image, is a fundamental problem in computer vision. Although correspondence has been mostly used for analyzing transformations between images from one scene, a new era has started recently when correspondence can be established across different scenes. In this tutorial, we will give an overview of dense correspondence algorithms for aligning images from different scenes. We will survey a variety of representations, including pixels (SIFT flow, Non-Rigid Dense Correspondence), semantic segments (layer flow) and image pyramid (deformable spatial pyramid). These dense alignment algorithms are powerful tools to analyze images and videos. We can not only transform information such as semantic labels, image details and geometry from images and videos in a labeled dataset, but also analyze an entire image database as a whole via information propagation. Recent advances on scene parsing, 2D video to 3D, annotation propagation (image to text), object discovery, co-segmentation, image hallucination, and biomedical image analysis demonstrate that across-scene correspondence can be a fundamental building block for computer vision.

Tutorial Schedule

Time	Speaker	Title
8:30 ~ 9:30am	Ce Liu	Dense Image Correspondences: Introduction
9:30 ~ 10:00am	Jaechul Kim	Deformable Spatial Pyramid Matching
10:00 ~ 10:30am	Break
10:30 ~ 11:00am	Marshall Tappen
11:00 ~ 11:30am	Zhuowen Tu	Scale-Space SIFT Flow and Non-Parametric Models for Image Correspondences
11:30 ~ 12:00pm	Tal Hassner	Scale-less Dense Correspondences
12:00 ~ 1:30pm	Lunch break
1:30 ~ 2:10pm	Michael Rubinstein	Joint Inference in Image Databases via Dense Correspondences
2:10 ~ 2:30pm	Joseph Lim	Ground-truth image dense correspondence database
2:30 ~ 3:00pm	Ce Liu	Depth-transfer for video
3:00 ~ 3:30pm	Break
3:30 ~ 4:00pm	Eyal Ofek
4:00 ~ 4:30pm	Philip Isola	Scene Collaging: Dense Correspondence for Scenes with Layers
4:30 ~ 5:00pm	Ce Liu	Wrap-up