3D image acquisition and NURBS based geometry modelling of natural objects

Moustakides, George V.; Briassoulis, D.; Psarakis, Emmanouil Ζ.; Dimas, E.

doi:10.1016/s0965-9978(00)00060-0

Cited by 26 publications

(19 citation statements)

References 9 publications

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“…(5) b 0 parameter of Eq. (6) curves and surfaces is the well-known Non-Uniform Rational B-Splines (NURBS) representation (Moustakides, Briassoulis, Psarakis, & Dimas, 2000). For further information about cross-sectional design, the reader should be referred to Woodward (1987Woodward ( , 1988.…”

Section: Methods Descriptionmentioning

confidence: 99%

Three-dimensional reconstruction of irregular foodstuffs

Goñi

Purlis

Salvadori

2007

Journal of Food Engineering

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Three-dimensional reconstruction of general solid food materials was performed using a reverse engineering method based on a surface cross-sectional design. Digital images of cross-sections of irregular multi-dimensional foodstuffs were acquired using a computer vision system, and image processing was performed to obtain the actual boundaries. These boundaries were then approximated by closed B-spline curves, which were assembled through a lofting technique to construct a geometrical representation of food materials. Considering the reconstructed objects, a procedure based on finite element method was developed to estimate the surface area and volume. The developed finite element method approach was validated against experimental volume values of apples and meat pieces, obtaining an estimation error less than 2%. Surface area prediction equations were proposed from estimated surface area values and weight and volume measurements. Good agreement was found with previously reported results.

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Section: Methods Descriptionmentioning

confidence: 99%

Three-dimensional reconstruction of irregular foodstuffs

Goñi

Purlis

Salvadori

2007

Journal of Food Engineering

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“…However, this is a tedious and error prone process especially when the numbers of point primitives assigned are increased at sites of high morphological variation. It might be necessary to improve the method for determining the Cartesian coordinates by using mathematical formula such as the parametric formula of Non-Uniform Rational B-Spline surface (NURBS) to approximate the different degree of curvature of shape found in a natural object [52].…”

Section: Discussionmentioning

confidence: 99%

A Deformable Generic 3D Model of Haptoral Anchor of Monogenean

2013

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In this paper, a digital 3D model which allows for visualisation in three dimensions and interactive manipulation is explored as a tool to help us understand the structural morphology and elucidate the functions of morphological structures of fragile microorganisms which defy live studies. We developed a deformable generic 3D model of haptoral anchor of dactylogyridean monogeneans that can subsequently be deformed into different desired anchor shapes by using direct manipulation deformation technique. We used point primitives to construct the rectangular building blocks to develop our deformable 3D model. Point primitives are manually marked on a 2D illustration of an anchor on a Cartesian graph paper and a set of Cartesian coordinates for each point primitive is manually extracted from the graph paper. A Python script is then written in Blender to construct 3D rectangular building blocks based on the Cartesian coordinates. The rectangular building blocks are stacked on top or by the side of each other following their respective Cartesian coordinates of point primitive. More point primitives are added at the sites in the 3D model where more structural variations are likely to occur, in order to generate complex anchor structures. We used Catmull-Clark subdivision surface modifier to smoothen the surface and edge of the generic 3D model to obtain a smoother and more natural 3D shape and antialiasing option to reduce the jagged edges of the 3D model. This deformable generic 3D model can be deformed into different desired 3D anchor shapes through direct manipulation deformation technique by aligning the vertices (pilot points) of the newly developed deformable generic 3D model onto the 2D illustrations of the desired shapes and moving the vertices until the desire 3D shapes are formed. In this generic 3D model all the vertices present are deployed for displacement during deformation.

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“…For constructing the sectional contours, the point clouds are generally divided by a series of parallel planes with a constant interval. The point data contained between two slices are often rearranged by projecting them on the crosssectional planes [10,11]. In this case, the number of contour data points may be too much.…”

Section: Sectional Contours Extraction Methodsmentioning

confidence: 99%

B-spline surface reconstruction and direct slicing from point clouds

Sun

Guo

Zhang

et al. 2005

Int J Adv Manuf Technol

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The issue of surface reconstruction and slicing from point clouds has been receiving extensive attention recently. When using the B-spline surface fitting technique, the difficulty of parameterization exists. At the same time, for interfacing between reverse engineering and rapid prototyping, the point clouds are usually converted to an stereolithography (STL) model. This leads to a huge file size and requires expert modeling skills. The objective of this work is to establish a base surface parameterization and direct slicing strategy for scattered data based on a cross-sectional design technique. We first present a new method of directly extracting sectional contours from point clouds. Then, we create a base surface by skinning the primary boundary curves and interior sectional curves. Based on a good parameterization, the final surface is achieved with tight tolerance. Several practical examples have demonstrated the feasibility of the proposed method. It can be widely used in Number Control (NC) machining and rapid prototyping.

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3D image acquisition and NURBS based geometry modelling of natural objects

Cited by 26 publications

References 9 publications

Three-dimensional reconstruction of irregular foodstuffs

Three-dimensional reconstruction of irregular foodstuffs

A Deformable Generic 3D Model of Haptoral Anchor of Monogenean

B-spline surface reconstruction and direct slicing from point clouds

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