Topic
Character (mathematics)
About: Character (mathematics) is a research topic. Over the lifetime, 46723 publications have been published within this topic receiving 411412 citations.
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TL;DR: In this paper, the authors predict the character of longitudinal-momentum distributions in hadron collisions of extreme energies, and propose a method to predict the distribution of the longitudinal momentum distribution.
Abstract: Proposals are made predicting the character of longitudinal-momentum distributions in hadron collisions of extreme energies.
1,386 citations
TL;DR: This paper presents an overview of feature extraction methods for off-line recognition of segmented (isolated) characters in terms of invariance properties, reconstructability and expected distortions and variability of the characters.
1,376 citations
Book•
01 Jan 1995
TL;DR: The representational character of sense experience introspection qualia consciousness externalism and supervenience has been studied in this paper, where it is shown that the sense experience is a metaphor for self-awareness.
Abstract: The representational character of sense experience introspection qualia consciousness externalism and supervenience.
1,326 citations
TL;DR: This work shows that it can make motion editing more efficient by generalizing the edits an animator makes on short sequences of motion to other sequences, and predicts frames for the motion using Gaussian process models of kinematics and dynamics.
Abstract: One way that artists create compelling character animations is by manipulating details of a character's motion. This process is expensive and repetitive. We show that we can make such motion editing more efficient by generalizing the edits an animator makes on short sequences of motion to other sequences. Our method predicts frames for the motion using Gaussian process models of kinematics and dynamics. These estimates are combined with probabilistic inference. Our method can be used to propagate edits from examples to an entire sequence for an existing character, and it can also be used to map a motion from a control character to a very different target character. The technique shows good generalization. For example, we show that an estimator, learned from a few seconds of edited example animation using our methods, generalizes well enough to edit minutes of character animation in a high-quality fashion. Learning is interactive: An animator who wants to improve the output can provide small, correcting examples and the system will produce improved estimates of motion. We make this interactive learning process efficient and natural with a fast, full-body IK system with novel features. Finally, we present data from interviews with professional character animators that indicate that generalizing and propagating animator edits can save artists significant time and work.
1,263 citations