3D Reconstruction and Geometry Processing

3D Reconstruction and Geometry Processing

Project Overview

We are pursuing two related lines of work. The first concerns 3D reconstruction: the creation of high-fidelity 3D models of objects and environments from visual data, such as images, video, and RGB-D video. 3D reconstruction provides data for virtual reality, special effects production, computer games, and other applications that utilize three-dimensional content. 3D models can also be used to enhance the performance of computer vision systems. The second line of work concerns algorithms and systems that process 3D data, including data produced by 3D reconstruction pipelines.


Fast Global Registration

Robust Reconstruction of Indoor Scenes

Single-View Reconstruction via Joint Analysis of Image and Shape Collections

Robust Nonrigid Registration by Convex Optimization

Depth Camera Tracking with Contour Cues

A Large Dataset of Object Scans

Color Map Optimization for 3D Reconstruction with Consumer Depth Cameras

Fast MRF Optimization with Application to Depth Reconstruction

Simultaneous Localization and Calibration: Self-Calibration of Consumer Depth Cameras

Elastic Fragments for Dense Scene Reconstruction

A Simple Model for Intrinsic Image Decomposition with Depth Cues

Dense Scene Reconstruction with Points of Interest

Joint Shape Segmentation with Linear Programming