Download Artificial Intelligence Techniques for Computer Graphics by Dimitri Plemenos, Georgios Miaoulis PDF

By Dimitri Plemenos, Georgios Miaoulis

The function of this quantity is to give present paintings of the clever special effects group, a neighborhood starting to be up yr after yr. certainly, if in the beginning of special effects using synthetic Intelligence suggestions was once particularly unknown, progressively more researchers around the globe are these days drawn to clever innovations permitting immense advancements of conventional special effects equipment. the opposite major contribution of clever options in special effects is to permit invention of thoroughly new equipment, usually in accordance with automation of loads of initiatives assumed long ago via the person in an vague and (human) time eating manner.

This quantity comprises either invited and chosen prolonged papers from the final 3IA convention (3IA’2008), including an advent proposing the realm of clever special effects and numerous special effects parts the place creation of clever recommendations authorised to solve vital difficulties. we are hoping that this quantity may be fascinating for the reader and that it'll persuade him (her) to take advantage of, or to invent, clever suggestions in special effects and, perhaps, to affix the clever special effects community.

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Reach is how far the character must reach out to pick up the object (distance between the root and the hand projected onto the ground). Based on the contact information, we automatically identify each state 2 Synthesizing Human Motion from Intuitive Constraints 33 Fig. 11. (a) We identify states where objects are picked up in the motion graph. Each such pose is parameterized by two parameters: height and reach. (b) For each state in the motion graph we precompute a table with the minimal cost of getting to a “picking” state with the specified height and reach parameters.

The first heuristic function, Hpos , ignores the dynamics of the motion of the character and estimates the cost of getting to the goal based only on the current position of the character, sketch of the user path and obstacles in the environment. The second heuristic function, Hmg , takes into account the capabilities of the character that are encoded in the motion graph but ignores its position in the environment. The combination of the two heuristics creates an informative measure of the cost of solving the problem specification.

Com 42 N. Lau et al. In handling the motion captured data with a scaled destination skeleton, constraints such as the foot must be snap to a specific position at certain frames will be violated. In order to fulfill the constraint requirement, we must preserve the constraint while not destroy the quality of the motion captured data. 2 Related Works There are some works focusing on generating a new motion which follows a predefined path from a database of motion clips [5, 9, 11]. The characteristics of these methods are that no time, speed and orientation requirement imposed on the predefined path, therefore, different generated motion may have different finishing time at the end of the path.

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