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US6628280B2
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Method for selectively regenerating an adaptively sampled distance field
Assignee: Mitsubishi Electric Research Laboratories Inc
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Filing: 2001-03-16
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Granted: 2003-09-30
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Expires: 2021-03-16
Abstract
Abstract A method for modeling a graphics object generates a model of the graphics object. An adaptively sampled distance field is generated from the model according to an error measure. The adaptively sampled distance field includes interior, surface, and exterior cells. Each cell stores distance values, and the distance values of the surface cells always satisfy the error measure. A subset of cells are selected from the adaptively sampled distance field. The subset of cells only include interior and exterior cells. The selected cells are subdivided and the distance values for the subdivided cells are regenerated, until the distance values of the subdivided cells satisfy the error measure.
Inventors
- 👤 Ronald N. Perry
- 👤 Sarah F. Frisken
Bibliographic Details
Application Number
—
Jurisdiction
US
Data Source
google_patents
Last Synchronized
2026-11-09 12:04
CPC Classifications
G; G06; G06T; G06T17/00
Claims Analysis
Total Claims: 5
Claim 1
Independent Claim
109 words
A method for modeling a graphics object, comprising: providing a model of the graphics object; generating an adaptively sampled distance field from the model according to an error measure, the adaptively sampled distance field includes a plurality of interior, surface, and exterior cells, each cell stores a plurality of distance values, the distance values of the surface cells satisfy the error measure; selecting a subset of cells in the adaptively sampled distance field, the subset of cells only including interior and exterior cells; and subdividing the selected cells, and regenerating the distance values for the subdivided cells until the distance values of the subdivided cells satisfy the error measure.
Claim 2
Independent Claim
109 words
A method for modeling a graphics object, comprising: providing a model of the graphics object; generating an adaptively sampled distance field from the model according to an error measure, the adaptively sampled distance field includes a plurality of interior, surface, and exterior cells, each cell stores a plurality of distance values, the distance values of the surface cells satisfy the error measure; selecting a subset of cells in the adaptively sampled distance field, the subset of cells only including interior and exterior cells; and subdividing the selected cells, and regenerating the distance values for the subdivided cells until the distance values of the subdivided cells satisfy the error measure.
Claim 3
Dependent Claim
16 words
The method of claim 1 further comprising: selecting the subset of cells by an input device.
Claim 4
Dependent Claim
15 words
The method of claim 1 further comprising: selecting the subset of cells with a function.
Claim 5
Dependent Claim
24 words
The method of claim 3 wherein the function selects all cells having at least one distance value greater than a predetermined threshold distance value.
References Cited (Backward Citations)
US6396492B1
Cited
US6483518B1
Cited
USPTO Annuity & Maintenance Windows
| Annuity Stage | Window Opens | Payment Deadline | Surcharge Period Until | Estimated Fee | Status |
|---|---|---|---|---|---|
| 3.5 Years (Year 4) | 2006-09-29 | 2007-03-31 | 2007-09-30 | $2000.00 | Window Closed / Lapsed |
| 7.5 Years (Year 8) | 2010-09-29 | 2011-03-31 | 2011-09-30 | $3760.00 | Window Closed / Lapsed |
| 11.5 Years (Year 12) | 2014-09-29 | 2015-03-31 | 2015-09-30 | $7700.00 | Window Closed / Lapsed |