In many areas of industry, it is desirable to create geometric models of existing objects for
which no such model is available. This paper reviews the process of reverse engineering of …

In a variety of practical situations such as reverse engineering of boundary representation
from depth maps of scanned objects, range data analysis, model-based recognition and …

In this paper we present an automatic algorithm to detect basic shapes in unorganized point
clouds. The algorithm decomposes the point cloud into a concise, hybrid structure of …

We present a novel statistical and variational approach to image segmentation based on a
new algorithm, named region competition. This algorithm is derived by minimizing a …

In this paper, we address the problem of detecting pedestrians in crowded real-world scenes
with severe overlaps. Our basic premise is that this problem is too difficult for any type of …

Several applications require information about street furniture. Part of the task is to survey all
traffic signs. This has to be done for millions of km of road, and the exercise needs to be …

This paper presents a novel method for detecting and localizing objects of a visual category
in cluttered real-world scenes. Our approach considers object categorization and figure …

We present a method for object categorization in real-world scenes. Following a common
consensus in the field, we do not assume that a figureground segmentation is available prior …

In this paper, we address the challenging problem of simultaneous pedestrian detection and
ground-plane estimation from video while walking through a busy pedestrian zone. Our …

This paper presents a novel variational framework to deal with frame partition problems in
Computer Vision. This framework exploits boundary and region-based segmentation …