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CVPR
2007
IEEE
14 years 7 months ago
3D Probabilistic Feature Point Model for Object Detection and Recognition
This paper presents a novel statistical shape model that can be used to detect and localise feature points of a class of objects in images. The shape model is inspired from the 3D...
Sami Romdhani, Thomas Vetter
ICPR
2008
IEEE
13 years 11 months ago
Calibration of a structured light system by observing planar object from unknown viewpoints
— A calibration method for a structured light system by observing a planar object from unknown viewpoints is proposed. A structured light system captures a 3D shape by a camera t...
Koichiro Yamauchi, Hideo Saito, Yukio Sato
CVPR
2009
IEEE
15 years 11 days ago
Building a database of 3D scenes from user annotations
In this paper, we wish to build a high quality database of images depicting scenes, along with their real-world threedimensional (3D) coordinates. Such a database is useful for ...
Antonio B. Torralba, Bryan C. Russell
3DIM
2001
IEEE
13 years 9 months ago
Dual-Beam Structured-Light Scanning for 3-D Object Modeling
In this paper, we present our Dual-Beam Structured-Light Scanner (DSLS), a scanning system that generates range maps much richer than those obtained from a conventional structured...
Johnny Park, Guilherme N. DeSouza, Avinash C. Kak
ICIAP
2007
ACM
14 years 5 months ago
Appearance-based 3D object recognition with time-invariant features
In this paper we explore the interlink between temporally dense view-based object recognition and sparse image representations with local keypoints. The temporal component is an a...
Elisabetta Delponte, Nicoletta Noceti, Francesca O...