A Perspective on Range Finding Techniques for Computer Vision

Authors:
R. A. Jarvis
Affiliations:
Department of Computer Science, Australian National University, Canberra, Australia.
Venue:
IEEE Transactions on Pattern Analysis and Machine Intelligence
Year:
1983

Citing 0
Cited 8

Reading between the lines—a method for extracting dynamic 3D with texture

VRST '97 Proceedings of the ACM symposium on Virtual reality software and technology
3D Measurement Technologies for Computer Animation

CA '96 Proceedings of the Computer Animation
Active estimation of distance in a robotic system that replicates human eye movement

Robotics and Autonomous Systems
Fast acquisition of dense depth data by a new structured light scheme

Computer Vision and Image Understanding
Qualitative real-time range extraction for preplanned scene partitioning using laser beam coding

Pattern Recognition Letters
Structured light system-based selective data acquisition

Robotics and Computer-Integrated Manufacturing
Saliency-guided compressive sensing approach to efficient laser range measurement

Journal of Visual Communication and Image Representation
An improved 3D imaging system for dimensional quality inspection of rolled products in the metal industry

Computers in Industry

Quantified Score

Hi-index	0.14

Visualization

Abstract

In recent times a great deal of interest has been shown, amongst the computer vision and robotics research community, in the acquisition of range data for supporting scene analysis leading to remote (noncontact) determination of configurations and space filling extents of three-dimensional object assemblages. This paper surveys a variety of approaches to generalized range finding and presents a perspective on their applicability and shortcomings in the context of computer vision studies.