3D screen-space widgets for non-linear projection

Coleman, Patrick; Singh, Karan; Barrett, Leon; Sudarsanam, Nisha; Grimm, Cindy

doi:10.1145/1101389.1101433

Cited by 15 publications

(9 citation statements)

References 10 publications

(12 reference statements)

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“…Deforming the target 3D objects allows us to simulate the effect of composing nonperspective images as seen from multiple viewpoints [9], [10], [11]. Projection with multiple cameras is an effective approach for generating nonperspective images [12], [13], [14]. which was followed by an interactive interface that directly manipulates 2D image deformations [14].…”

Section: B Nonperspective Projectionmentioning

confidence: 99%

“…Projection with multiple cameras is an effective approach for generating nonperspective images [12], [13], [14]. which was followed by an interactive interface that directly manipulates 2D image deformations [14]. Our approach related to the last category, while the associated image deformation is rather automated because we take full advantage of the perceptual tolerance of nonperspective deformation in terms of the configuration of pictorial perspective cues.…”

Section: B Nonperspective Projectionmentioning

confidence: 99%

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Perceptually-Guided Design of Nonperspectives through Pictorial Depth Cues

Yoshida

Takahashi

Ono

et al. 2010

2010 Seventh International Conference on Computer Graphics, Imaging and Visualization

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Introducing distortions into perspective views is a popular technique to direct our visual attention to specific objects, as seen in hand-drawn illustrations and cartoon animations. This type of image expression, called nonperspective projection, is feasible in visual communication, because the human visual system can reconstruct the target three-dimensional (3D) scene correctly provided that the corresponding image distortions are within a certain perceptual tolerance. In this paper, we develop a perceptual approach to guiding the design of such nonperspective images by referring to the 3D perception induced by pictorial depth cues. We formulate an acceptable tolerance by investigating how we perceive image distortion according to the change in the configuration of depth cues. The obtained formulation is then incorporated into our new algorithm, with which we can automatically control plausible image deformation by simply modifying the positions and sizes of specific objects in a scene.

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Section: B Nonperspective Projectionmentioning

confidence: 99%

Section: B Nonperspective Projectionmentioning

confidence: 99%

Perceptually-Guided Design of Nonperspectives through Pictorial Depth Cues

Yoshida

Takahashi

Ono

et al. 2010

2010 Seventh International Conference on Computer Graphics, Imaging and Visualization

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“…An attractive method for defining cameras is to use image-space constraints [Blinn 1988;Gleicher and Witkin 1992;Coleman et al 2005]. Unfortunately, it can be difficult to control the camera in this manner because the solver is not guaranteed to produce a meaningful solution.…”

Section: Non-linear Perspectivesmentioning

confidence: 99%

Non-linear perspective widgets for creating multiple-view images

Sudarsanam

Grimm

Singh

2008

Proceedings of the 6th International Symposium on Non-Photorealistic Animation and Rendering

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Fish-eye widgets Unwrap widget Fish-eye a) Placing an unwrap and a fish-eye widget b) Placing two fish-eye widgets Figure 1: Using multiple non-linear widgets to compare features on a human pelvis. (a) The unwrap widget is first used to place the two acetabulum cavities in the same views. Next, we add a fish-eye widget to the left cavity to aid the comparison (1,289,814 faces, 49,989 vertices). (b) Placing two fish-eye widgets, one for each joint in the pelvis. AbstractViewing data sampled on complicated geometry, such as a helix or a torus, is hard because a single camera view can only encompass a part of the object. Either multiple views or non-linear projection can be used to expose more of the object in a single view, however, specifying such views is challenging because of the large number of parameters involved. We show that a small set of versatile widgets can be used to quickly and simply specify a wide variety of such views. These widgets are built on top of a general framework that in turn encapsulates a variety of complicated camera placement issues into a more natural set of parameters, making the specification of new widgets, or combining multiple widgets, simpler. This framework is entirely view-based and leaves intact the underlying geometry of the dataset, making it applicable to a wide range of data types.

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“…They too use the idea of a master camera [16]. More recently, they provide widgets to assist user interaction [17].…”

Section: A Backgroundmentioning

confidence: 99%

RTcams: A New Perspective on Nonphotorealistic Rendering from Photographs

Hall

Collomosse

Song

et al. 2007

IEEE Trans. Visual. Comput. Graphics

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Abstract-We introduce a simple but versatile camera model that we call the Rational Tensor Camera (RTcam). RTcams are well principled mathematically and provably subsume several important contemporary camera models in both Computer Graphics and Vision; their generality is one contribution. They can be used alone, or compounded to produce more complicated visual effects. In this paper we apply RTcams to generate synthetic artwork with novel perspective effects from real photographs. Existing Non-Photorealistic Rendering from Photographs (NPRP) is constrained to the projection inherent in the source photograph, which is most often linear. RTcams lift this restriction and so contribute to NPRP via multi-perspective projection. This paper describes RTcams, compares them to contemporary alternatives, and discusses how to control them in practice. Illustrative examples are provided throughout.

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3D screen-space widgets for non-linear projection

Cited by 15 publications

References 10 publications

Perceptually-Guided Design of Nonperspectives through Pictorial Depth Cues

Perceptually-Guided Design of Nonperspectives through Pictorial Depth Cues

Non-linear perspective widgets for creating multiple-view images

RTcams: A New Perspective on Nonphotorealistic Rendering from Photographs

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