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Download Artificial Animals for Computer Animation: Biomechanics, by Xiaoyuan Tu PDF

By Xiaoyuan Tu

After approximately part a century of analysis, the Holy Grail of the ?eld of paintings- cial intelligence (AI) is still a entire computational version able to emulating the fantastic talents of animals, together with locomotion, p- ception, habit, manipulation, studying, and cognition. the excellent modeling of upper animals –humans and different primates –remains elusive; even though, the study documented during this monograph achieves not anything below a sensible desktop version of yes species of reduce animals which are under no circumstances trivial of their complexity. mentioned herein is the 1996 ACM Doctoral Dissertation Award successful paintings of Xiaoyuan Tu, which she performed within the division of laptop technological know-how on the collage of Toronto. Tu offers “arti?cial ?shes”, a rema- capable computational version of frequent marine animals of their average habitat. initially conceived within the context of special effects, Tu’s is to this point the one PhD dissertation from this significant sub?eld of machine technology (and the single thesis from a Canadian college) to win the coveted ACM award.

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Extra info for Artificial Animals for Computer Animation: Biomechanics, Locomotion, Perception, and Behavior

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2 Structure of the Dynamic Fish Model 35 muscle distribution and usage approximates that found in most natural fish [101]. 4). Active natural fishes have evolved a streamlined shape, where their greatest body diameter is just under the midpoint of their bodies [100]. The streamlined shape of the body reduces water turbulence that retards forward motion. The large surface area of the mid-body induces relatively large hydrodynamic forces on the sides which mitigate lateral instability. Since we want the artificial fish to be able to locomote realistically in simulated water, it is important that we design its shape in accordance to the streamlined shape of natural fishes.

57] retreated when it sensed danger from a virtual hand. Renault et al. [70] advocate a more extensive form of synthetic vision for behavioral actors, including the automatic computation of internal spatial maps of the world. The virtual humans in Thalmann’s work [71] have simulated simple visual, tactile and auditory sensors that enable them to perform tasks such as following a leader or greeting each other and even playing tennis. Perception modeling for animation, in general, is very different from that for robotics.

2 Control of Behavior Behavioral control mechanisms working in conjunction with the perception and the locomotion control mechanisms make our artificial fishes autonomous agents. To achieve a level of behavioral realism consistent with the locomotional abilities of artificial fishes, it is prudent to consult the ethology literature [72, 73, 74, 75]. Tinbergen’s landmark studies of the three-spined stickleback highlight the great diversity of piscine behavior, even within a single species. The artificial fishes’ behavior repertoires are modeled after natural piscatorial behaviors common across several species.

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