High-contrast computational caustic design

Schwartzburg, Yuliy; Testuz, Romain; Tagliasacchi, Andrea; Pauly, Mark

doi:10.1145/2601097.2601200

Cited by 107 publications

(68 citation statements)

References 23 publications

(30 reference statements)

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“…MOF element design starts by the generation of a freeform beamshaping surface, obtained, for instance, by the method described in [6]. Depending on its dimensions, proper lateral and vertical scaling might be necessary to downsize the original surface and/or its projection distance.…”

Section: Design Methodsmentioning

confidence: 99%

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Design, simulation, and quality evaluation of micro-optical freeform beam shapers at different illumination conditions

Infante-Gómez

Herzig

2016

Appl. Opt.

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A design method to generate thin micro-optical freeform (MOF) beam shapers by clipping or wrapping an original and much thicker freeform surface is provided. MOF elements are situated at the border between refractive and diffractive optical elements. The influence of parameters such as the clipping factor q, the peak-to-valley amplitude of the original surface, the design wavelength and the spectrum of the light source (single wavelength and multiple wavelength lines) into the quality of the output intensity distributions has been studied. Integer q values are mandatory for good quality at monochromatic illumination. On the contrary, the quality obtained by broadband illumination oscillates with q and peaks maximally at around q=3.

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Section: Design Methodsmentioning

confidence: 99%

“…Caustic generators are examples of refractive beam-shaping freeform surfaces [5,6]. Their surface shapes are obtained after inputting the target intensity distribution into an algorithm that solves the inverse problem by geometric propagation of light rays.…”

Section: Introductionmentioning

confidence: 99%

Design, simulation, and quality evaluation of micro-optical freeform beam shapers at different illumination conditions

Infante-Gómez

Herzig

2016

Appl. Opt.

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“…Several techniques have been proposed to design paper craft objects [Mitani and Suzuki 2004], plush objects [Mori and Igarashi 2007], and objects made of interlocking planar slices [Cignoni et al 2014;Schwartzburg and Pauly 2013;Hildebrand et al 2012]. Other techniques use geometric techniques to change surface appearance by synthesizing surface microgeometry [Weyrich et al 2009] or changing the shape to generate custom target caustics [Schwartzburg et al 2014].…”

Section: Fabrication and Computer Graphicsmentioning

confidence: 99%

Elastic textures for additive fabrication

et al. 2015

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Figure 1: Six basic elastic textures are used to obtain a large range of homogenized isotropic material properties. A 3 × 3 × 1 tiling of each pattern is shown, along with rendered (left) and fabricated (right) cell geometry below. The naming convention is explained in Section 4. AbstractWe introduce elastic textures: a set of parametric, tileable, printable, cubic patterns achieving a broad range of elastic material properties: the softest pattern is over a thousand times softer than the stiffest, and the Poisson's ratios range from below zero to nearly 0.5. Using a combinatorial search over topologies followed by shape optimization, we explore a wide space of truss-like, symmetric 3D patterns to obtain a small family. This pattern family can be printed without internal support structure on a single-material 3D printer and can be used to fabricate objects with prescribed mechanical behavior. The family can be extended easily to create anisotropic patterns with target orthotropic properties. We demonstrate that our elastic textures are able to achieve a user-supplied varying material property distribution. We also present a material optimization algorithm to choose material properties at each point within an object to best fit a target deformation under a prescribed scenario. We show that, by fabricating these spatially varying materials with elastic textures, the desired behavior is achieved.

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“…Throughout the last few years, a large body of computational caustic designs have emerged in the graphics community, that mostly focusing on a refractive setting [Hullin et al 2012]. We can distinguish between discrete designs [Papas et al 2012[Papas et al , 2011Yue et al 2012] where the surface is broken into smaller elements, and continuous designs (see [Finckh et al 2010;Kiser et al 2013] as well as [Schwartzburg et al 2014;Yue et al 2014]) that yield a single smooth surface. Discrete designs have the advantage that they allow for discontinuities in the surface, which results in flatter geometries, and more lightweight, compact objects.…”

Section: Related Workmentioning

confidence: 99%

Mix-and-match holography

et al. 2017

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Fig. 1. Overview of mix-and-match holography. We computationally design pairs of diffractive optical elements that encode multiple holograms or target images under different geometric alignments or DOE pairings (top left: encoding scheme, bottom left: fabricated DOEs). By changing the geometric alignment or pairing different DOEs, the individual encoded holograms can be de-multiplexed. Illumination with a pre-determined lighting condition produces the corresponding target image, that can be generalized in a wide range of scenarios (selected results presented on the right: through offset layer pairing (a), combinational pairing (b), multiview images' encoding (c), and animated images through linear translation (d)). The design process makes use of a combination of iterative phase retrieval methods and complex matrix factorization.Computational caustics and light steering displays offer a wide range of interesting applications, ranging from art works and architectural installations to energy efficient HDR projection. In this work we expand on this concept by encoding several target images into pairs of front and rear phasedistorting surfaces. Different target holograms can be decoded by mixing and matching different front and rear surfaces under specific geometric alignments. Our approach, which we call mix-and-match holography, is made possible by moving from a refractive caustic image formation process to a diffractive, holographic one. This provides the extra bandwidth that is required to multiplex several images into pairing surfaces.We derive a detailed image formation model for the setting of holographic projection displays, as well as a multiplexing method based on a combination of phase retrieval methods and complex matrix factorization. We demonstrate several application scenarios in both simulation and physical prototypes.

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High-contrast computational caustic design

Cited by 107 publications

References 23 publications

Design, simulation, and quality evaluation of micro-optical freeform beam shapers at different illumination conditions

Design, simulation, and quality evaluation of micro-optical freeform beam shapers at different illumination conditions

Elastic textures for additive fabrication

Mix-and-match holography

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