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Recognition of curvilinear objects by matching relational structures.

J. K. Cheng, +1 more
- pp 343-348
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The article was published on 1982-01-01 and is currently open access. It has received 10 citations till now. The article focuses on the topics: Matching (statistics).

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Journal ArticleDOI

Model-based recognition in robot vision

TL;DR: This paper presents a comparative study and survey of model-based object-recognition algorithms for robot vision, and an evaluation and comparison of existing industrial part- recognition systems and algorithms is given, providing insights for progress toward future robot vision systems.
Journal ArticleDOI

Locating human faces in photographs

TL;DR: In this paper, a computational theory for locating human faces in scenes with certain constraints is presented, where people's faces are the primary subject of the scene, occlusion is minimal, and the faces contrast well against the background.
Journal Article

Locating human faces in photographs

Venu Govindaraju
- 01 Jan 1996 - 
TL;DR: A computational theory for locating human faces in scenes with certain constraints is presented and will be validated by experiments confined to instances where people's faces are the primary subject of the scene, occlusion is minimal, and the faces contrast well against the background.
Journal ArticleDOI

An abstraction-based approach to 3-D pose determination from range images

TL;DR: An abstraction-based paradigm that makes explicit the process of imposing assumptions on data is discussed and it is shown that biquadratic surfaces are suitable companion-linear forms for cylinder approximation and parameter estimation.
Dissertation

On three-dimensional object recognition and pose determination: an abstraction-based approach

TL;DR: This thesis advances an abstraction-based paradigm which makes explicit the process of imposing assumptions on data and develops a hypothesis-based split-merge algorithm for extraction and pose determination of cylinders and planes which merge smoothly into other surfaces.
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