Survey of Model-Based Image Analysis Systems-Reference-Cited by-同舟云学术

Survey of Model-Based Image Analysis Systems

Published:1982-03 Issue:1 Volume:1 Page:18-64
ISSN:0278-3649
Container-title:The International Journal of Robotics Research
language:en
Short-container-title:The International Journal of Robotics Research

Author:

Binford Thomas O.¹

Affiliation:

1. Artificial Intelligence Laboratory Computer Science Department Stanford University

Abstract

A survey and critique of the state of the art in model-based image analysis systems is presented. The paper includes summaries of a selection of systems and evaluates them from the viewpoint of progress toward general vision systems. The paper also describes principles of design of general vision systems.

Publisher

SAGE Publications

Subject

Applied Mathematics,Artificial Intelligence,Electrical and Electronic Engineering,Mechanical Engineering,Modeling and Simulation,Software

Link

http://journals.sagepub.com/doi/pdf/10.1177/027836498200100103

Reference31 articles.

1. Computer vision systems;Ballard, D.,1978

2. Barrow, H.G., et al. 1977. Interactive aids for cartography and photointerpretation: Progress report. Proc. ARPA Image Understanding Workshop, ed. L. Baumann. McLean, Va.: Science Applications, pp. 111-127.

3. Inferring surfaces from images

4. Blum, H. 1967. A transformation for extracting new descriptors of shape . Models for the perception of speech and visual form , ed. W. Dunn. Cambridge, Mass.: MIT Press, pp. 362-380.

Cited by 143 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. ROCA: Robust CAD Model Retrieval and Alignment from a Single Image;2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR);2022-06

2. Patch2CAD: Patchwise Embedding Learning for In-the-Wild Shape Retrieval from a Single Image;2021 IEEE/CVF International Conference on Computer Vision (ICCV);2021-10

3. Mask2CAD: 3D Shape Prediction by Learning to Segment and Retrieve;Computer Vision – ECCV 2020;2020

4. A System for Semi-automatic Construction of Image Processing Pipeline for Complex Problems;Enterprise, Business-Process and Information Systems Modeling;2019

5. Understanding of the concave polygon object in the shape understanding system;Computers & Graphics;2005-06