As-rigid-as-possible image registration for hand-drawn cartoon animations

Sýkora, Daniel; Dingliana, John; Collins, Steven

doi:10.1145/1572614.1572619

Cited by 76 publications

(64 citation statements)

References 30 publications

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“…Our work belongs to the scope of cartoon animation processing. There are many techniques published in the domain of cartoon processing, e.g., cartoon creation, displaying and editing [4], [5], [8]. But only few techniques are designed for reusing cartoon animations due to the challenging nature of the involved inverse problems.…”

Section: Related Workmentioning

confidence: 99%

“…To make things worse, there possibly exists severe self-occlusion on the same layer, e.g., legs in Figure 6 (b-III), which makes completion of foreground layers rather challenging. Inspired by recent works on cartoon image registration [8] and depth reconstruction [34], we propose a global-to-local warping approach to sequentially warp a completed foreground layer L r k at frame k to help complete the corresponding layer L r k+1 in the next frame, in which auxiliary depth information can be optionally combined to guide the correct warping transformation.…”

Section: Completion Of Foreground Layersmentioning

confidence: 99%

“…The core of completing L r k+1 is to find a proper warping transformation T k,k+1 that best aligns L r k to L r k+1 . The ideas of as-rigid-as-possible (ARAP) cartoon registration [8] are borrowed here to compute the best warping T k,k+1 . The ARAP approach applies Push and Regularize steps iteratively to find the best matching from a source image to a target image.…”

Section: Completion Of Foreground Layersmentioning

confidence: 99%

“…We also introduce easy-to-use user interfaces to greatly improve completion results but with little user interaction. Similar to [8], we embed the complete layer L r k into an adaptive regular square lattice {p i } (see Figure 7 (a)). …”

Section: Completion Of Foreground Layersmentioning

confidence: 99%

“…The energy function (5) is the same as that described in [8] except for the second term for our user-specified constraints. Please refer to [8] for the algorithm details of the first energy term.…”

Section: Global Arap Warping With Constraintsmentioning

confidence: 99%

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EXCOL: An EXtract-and-COmplete Layering Approach to Cartoon Animation Reusing

Huang

2012

IEEE Trans. Visual. Comput. Graphics

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Abstract-We introduce the EXCOL method (EXtract-and-COmplete Layering) -a novel cartoon animation processing technique to convert a traditional animated cartoon video into multiple semantically meaningful layers. Our technique is inspired by vision-based layering techniques but focuses on shape cues in both the extraction and completion steps to reflect the unique characteristics of cartoon animation. For layer extraction, we define a novel similarity measure incorporating both shape and color of automatically segmented regions within individual frames and propagate a small set of user-specified layer labels among similar regions across frames. By clustering regions with the same labels, each frame is appropriately partitioned into different layers, with each layer containing semantically meaningful content. Then a warping-based approach is used to fill missing parts caused by occlusion within the extracted layers to achieve a complete representation. EXCOL provides a flexible way to effectively reuse traditional cartoon animations with only a small amount of user interaction. It is demonstrated that our EXCOL method is effective and robust, and the layered representation benefits a variety of applications in cartoon animation processing.

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Section: Related Workmentioning

confidence: 99%

Section: Completion Of Foreground Layersmentioning

confidence: 99%

Section: Completion Of Foreground Layersmentioning

confidence: 99%

Section: Completion Of Foreground Layersmentioning

confidence: 99%

Section: Global Arap Warping With Constraintsmentioning

confidence: 99%

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EXCOL: An EXtract-and-COmplete Layering Approach to Cartoon Animation Reusing

Huang

2012

IEEE Trans. Visual. Comput. Graphics

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Animation Research: Modern Techniques

Tao

2013

Modern Machine Learning Techniques and Their Applications in Cartoon Animation Research

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Dynamic sprites: artistic authoring of interactive animations

Jones

McCann

et al. 2014

Computer Animation & Virtual

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Traditional methods for creating dynamic objects and characters from static drawings involve careful tweaking of animation curves and/or simulation parameters. Sprite sheets offer a more drawing-centric solution, but they do not encode timing information or the logic that determines how objects should transition between poses and cannot generalize outside the given drawings. We present an approach for creating dynamic sprites that leverages sprite sheets while addressing these limitations. In our system, artists create a drawing, deform it to specify a small number of example poses, and indicate which poses can be interpolated. To make the object move, we design a procedural simulation to navigate the pose manifold in response to external or user-controlled forces. Powerful artistic control is achieved by allowing the artist to specify both the pose manifold and how it is navigated, while physics is leveraged to provide timing and generality. We used our method to create sprites with a range of different dynamic properties.

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As-rigid-as-possible image registration for hand-drawn cartoon animations

Cited by 76 publications

References 30 publications

EXCOL: An EXtract-and-COmplete Layering Approach to Cartoon Animation Reusing

EXCOL: An EXtract-and-COmplete Layering Approach to Cartoon Animation Reusing

Animation Research: Modern Techniques

Dynamic sprites: artistic authoring of interactive animations

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