In this paper, we present a novel method to address the trajectory problem in 2D shape morphing based on the Laplacian coordinates (LCs). Although the LCs capture the geometric details of a shape, they are built in the global coordinate system and thus not rotation invariant [1, 7]. By adding rotation coherence constraints to as-rigid-as-possible transformations applied on the LCs, we make the ...

Image morphing algorithms create an intermediate image that resembles both the source image and the target image simultaneously. Most existing morphing algorithms incur information loss, thus, they cannot reconstruct the original images accurately. This paper proposes a novel, lossless image morphing (LIM) algorithm, designed so that the original image can be losslessly reconstructed from the m...

A new type of ensemble filter is proposed, which combines an ensemble Kalman filter (EnKF) with the ideas of morphing and registration from image processing. This results in filters suitable for nonlinear problems whose solutions exhibit moving coherent features, such as thin interfaces in wildfire modeling. The ensemble members are represented as the composition of one common state with a spat...

We present a powerful morphing technique based on level set methods, that can be combined with a variety of scan conversion/model processing techniques. Bringing these techniques together creates a general morphing approach that allows a user to morph a number of geometric model types in a single animation. We have developed techniques for converting several types of geometric models (polygonal...

This paper presents our research into morphing algorithms for generating musical transitions, including digitally inspired composing techniques as well as models of existing creative processes. We show that it is possible to generate effective morphs between contrasting musical passages and describe some ways in which iterative developments seem to have improved the musicality of the generated ...

We present in this paper a systematic study on how to morph a well-trained neural network to a new one so that its network function can be completely preserved. We define this as network morphism in this research. After morphing a parent network, the child network is expected to inherit the knowledge from its parent network and also has the potential to continue growing into a more powerful one...

We propose a novel morphing algorithm for objects represented by point-sampled geometry. The fundamental problem of point-sampled geometry morphing is how to set the correspondence between points of the two objects which are usually of different size. The two objects are first parameterized by projecting the sample points onto a common parametric domain. As both objects are densely sampled, we ...

We extend prior work on class-morphing to provide a more expressive pattern-based compile-time reflection language. Our MorphJ language offers a disciplined form of metaprogramming that produces types by statically iterating over and pattern-matching on fields and methods of other types. We expand such capabilities with “universal morphing”, which also allows pattern-matching over types (e.g., ...

This paper describes a singing design method based on morphing, the design and development of an intuitive interface to assist morphing-based singing design. The proposed interface has a function for real-time morphing, based on simple operation with a mouse, and an editor to control the singing features in detail. The user is able to enhance singing voices efficiently by using these two functi...

A series of perceptual experiments using morphed emotional speech sounds was conducted. A high-quality speech modification procedure STRAIGHT [1] extended to enable auditory morphing[2] was used for providing CD quality test stimuli. The test results indicated that naturalness of morphed speech samples were comparable to natural speech samples and resynthesized samples without any modifications...