A Characterization of Ten Hidden-Surface Algorithms

Sutherland, Ivan E.; Sproull, Robert F.; Schumacker, Robert A.

doi:10.1145/356625.356626

Cited by 748 publications

(241 citation statements)

References 6 publications

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“…The reflectance map correctly accounts for selfshadowed surfaces, but not shadows cast by one surface element on another. Such cast shadows can however be calculated using well-known hidden-surface algorithms to predict which surface elements are not visible from the source [26,27,20].…”

Section: The Reflectance Mapmentioning

confidence: 99%

“…One difference between their methods and those needed to generate the synthetic images used here arises from the relative simplicity of the satellite imaging situation. Here there are no hidden surfaces and thus no need for hidden-surface elimination [26,27,20]. Because of the near-orthographic projection, the computation is simple and does not require interpolation or successive refinement of surface patches.…”

Section: Relationship To Work In Computer Graphicsmentioning

confidence: 99%

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Using synthetic images to register real images with surface models

Horn

Bachman

1978

Commun. ACM

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B e r t h o l d K. P. H o r n a n d Brett L. B a c h m a n M a s s a c h u s e t t s Institute o f T e c h n o l o g yA number of image analysis tasks can benefit from registration of the image with a model of the surface being imaged. Automatic navigation using visible light or radar images requires exact alignment of such images with digital terrain models. In addition, automatic classification of terrain, using satellite imagery, requires such alignment to deal correctly with the effects of varying sun angle and surface slope. Even inspection techniques for certain industrial parts may be improved by this means. We achieve the required alignment by matching the real image with a synthetic image obtained from a surface model and known positions of the light sources. The synthetic image intensity is calculated using the reflectance map, a convenient way of describing surface reflection as a function of surface gradient. We illustrate the technique using LANDSAT images and digital terrain models.

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Section: The Reflectance Mapmentioning

confidence: 99%

Section: Relationship To Work In Computer Graphicsmentioning

confidence: 99%

Using synthetic images to register real images with surface models

Horn

Bachman

1978

Commun. ACM

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“…Distributions of maximal vertex distance from underlying surface. To assess the distance from implicitly defined planes, a surface normal is found using Newell's algorithm (see e.g., [34], p. 15). Arbitrary precision floating point arithmetic is used during computation.…”

Section: Initial Methodologymentioning

confidence: 99%

Processing BIM and GIS Models in Practice: Experiences and Recommendations from a GeoBIM Project in The Netherlands

Ohori

Diakité

Krijnen

et al. 2018

IJGI

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Abstract:It is widely acknowledged that the integration of BIM and GIS data is a crucial step forward for future 3D city modelling, but most of the research conducted so far has covered only the high-level and semantic aspects of GIS-BIM integration. This paper presents the results of the GeoBIM project, which tackled three integration problems focussing instead on aspects involving geometry processing: (i) the automated processing of complex architectural IFC models; (ii) the integration of existing GIS subsoil data in BIM; and (iii) the georeferencing of BIM models for their use in GIS software. All the problems have been studied using real world models and existing datasets made and used by practitioners in The Netherlands. For each problem, this paper exposes in detail the issues faced, proposed solutions, and recommendations for a more successful integration.

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“…More specifically, for each element of the scene the Z-buffer provides a solution for capturing that part of it that is visible and not on the back side with respect to the viewing position. It was initially proposed by [7] and considered as a naive solution, however nowadays depth buffer is a standard and very essential method in computer graphics. In our simulation the buffer is constructed as a line (Fig.…”

Section: B Algorithm Analysismentioning

confidence: 99%

Fast visual part inspection for bin picking

Rofalis

Olesen

Jakobsen

et al. 2016

2016 IEEE International Conference on Imaging Systems and Techniques (IST)

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Abstract-In this paper we present a novel 3D sensing approach for industrial bin-picking applications that is low-cost, fast and precise. The system uses a simple laser-line emitter. While a robot arm moves the object through the laser light, a synchronized camera captures the laser line image on the object. A full point cloud as well as an edge point cloud suitable for subsequent pose estimation is generated by the developed system. The aim of this work is to deliver an accurate point cloud based on which an object pose can be generated to support a manufacturing robot to deliver an object with high precision. The experimental evaluation of our system shows robust and accurate scanning results.

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A Characterization of Ten Hidden-Surface Algorithms

Cited by 748 publications

References 6 publications

Using synthetic images to register real images with surface models

Using synthetic images to register real images with surface models

Processing BIM and GIS Models in Practice: Experiences and Recommendations from a GeoBIM Project in The Netherlands

Fast visual part inspection for bin picking

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