A framework to reconstruct 3D building rooftops from LiDAR data is proposed, in which the
key contribution is a dynamic triangle-based method for precise rooftop detection. This …

In many machine vision techniques, depth segmentation is a central process to segment
targeted objects with abruptly changing depth into different regions for 3D data analysis …

Modern range scanners can capture the geometry of large urban scenes on an
unprecedented scale. While the volume of data is overwhelming, urban scenes can be …

Image segmentation remains as one of the most important tasks for image analysis and
understanding. It deals with raw images in order to prepare them to be usable in automatic …

In this paper, we present a system allowing non-expert users to teach new words to their
robot. In opposition to most of existing works in this area which focus on the associated …

Oblique photography technology as an excellent method for 3-D city model construction has
brought itself to large-scale recognition and undeniable high social status. Tilt and vertical …

Architecture reconstruction using terrestrial laser scanner is a prevalent and challenging
research topic. We introduce an automatic, hierarchical architecture generation framework to …

Piecewise planar 3D objects are very common in digital furniture manufacturing. In this
paper, we propose a novel method for automatic reconstruction of 3D objects with planar …

Recent advances in computer technology have made it possible to create databases for
large number of images. A major approach directed towards achieving CBIR is the use of …

Image segmentation is a crucial step in any image analysis process. It consists in preparing
the image to make it more usable by an automatic process, such interpreting and …