3D reconstruction

Contact person: Anton S. Konushin (ktosh@graphics.cs.msu.ru)


Point cloud segmentation and classification
Research into LIDAR data segmentation and object recognition.
Geometric image parsing in man-made environments
We present a new optimization parsing framework for the geometric analysis of a single image coming from a man-made environment. This framework models the scene as a composition of geometric primitives spanning different layers from low level (edges) through mid-level (lines segments, lines and vanishing points) to high level (the zenith and the horizon).
Fast automatic single-view 3-d reconstruction of urban scenes
We consider the problem of estimating 3-d structure from a single still image of an outdoor urban scene. Our goal is to efficiently create 3-d models which are visually pleasant. We chose an appropriate 3-d model structure and formulate the task of 3-d reconstruction as model fitting problem. Our 3-d models are composed of a number of vertical walls and a ground plane, where ground-vertical boundary is a continuous polyline. We achieve computational efficiency by special preprocessing together with stepwise search of 3-d model parameters dividing the problem into two smaller sub-problems on chain graphs.
Image-based 3D reconstruction of urban scenes
This project is devoted to reconstruction of photo-realistic 3D model of an urban scene from a number of images of streets and crossroads. Our main intention was the createion of a system for construction high-quality models with very simple and intuitive user interface.
3D object reconstruction
This project is devoted to research into combination of sketch-based modeling and computer vision techniques for reconstructing complex real-world objects from videos and image sequences. Initially this project was started in 2004 in cooperation with Samsung Advanced Institute of Technology and continued as internal project of the laboratory.
Sketch-based 3D-reconstruction of surfaces of revolution
This task is devoted to 3D-reconstruction of surfaces of revolution from user’s sketches on two images.
Image-based 3D reconstruction of "generalized box" with user sketches
This project deals with reconstructing of 3D models of real-world objects from a number of images. The shape of the object is called "generalized box" and describes objects with hexahedron shape, which edges are polylines or curves and faces are curved surfaces. The class of objects described as generalized box is rather wide. It includes technical equipment, machinery or their parts, architectural buildings, a host of common everyday objects.
Core sample modelling
Recently 3D network models of pore spaces were successfully applied for modelling different properties of rocks. These models have become a good compromise between modelling accuracy and computational cost. But quite a little effort has been conducted in the area of 3D network extraction comparing to the variety of different modelling methods
GML Texturizer

This software is a Google SketchUp plugin. It simplifies the creation of 3D models of urban buildings for Google Earth