2004Jisuanji fangzhenRequires access

Generalizing Midpoint Algorithm to 3D Straight-Line

Wang Run-yun

Open publisher page 0 citations

Abstract

A 3D line segment can be defined with two endpoints, in which Δx≥Δy≥Δz0 , and then Midpoint 2D line algorithm is applied to the projections of line segment on xy and xz coordinate planes respectively, this results in the Midpoint algorithm for 3D straight-line. Case studies indicate that the performance of this algorithm is as perfect as 2D Midpoint algorithm.

About this research paper

What this paper is about

A 3D line segment can be defined with two endpoints, in which Δx≥Δy≥Δz0 , and then Midpoint 2D line algorithm is applied to the projections of line segment on xy and xz coordinate planes respectively, this results in the Midpoint algorithm for 3D straight-line. Case studies indicate that the performance of this algorithm is as perfect as 2D Midpoint algorithm.

Why it matters

A significance statement is not available in the OpenAlex record.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

A 3D line segment can be defined with two endpoints, in which Δx≥Δy≥Δz0 , and then Midpoint 2D line algorithm is applied to the projections of line segment on xy and xz coordinate planes respectively, this results in the Midpoint algorithm for 3D straight-line. Case studies indicate that the performance of this algorithm is as perfect as 2D Midpoint algorithm.

Key concepts: Midpoint, Algorithm, Line (geometry), Midpoint method, Line segment, Geometry, Mathematics, Computer science

Related papers

Back to paper searchBrowse research topicsOriginal source
Generalizing Midpoint Algorithm to 3D Straight-Line — Research Paper | ScholarLens