5,956 research outputs found
Example Based Caricature Synthesis
The likeness of a caricature to the original face image is an essential and often overlooked part of caricature
production. In this paper we present an example based caricature synthesis technique, consisting of shape
exaggeration, relationship exaggeration, and optimization for likeness. Rather than relying on a large training set
of caricature face pairs, our shape exaggeration step is based on only one or a small number of examples of facial
features. The relationship exaggeration step introduces two definitions which facilitate global facial feature
synthesis. The first is the T-Shape rule, which describes the relative relationship between the facial elements in an
intuitive manner. The second is the so called proportions, which characterizes the facial features in a proportion
form. Finally we introduce a similarity metric as the likeness metric based on the Modified Hausdorff Distance
(MHD) which allows us to optimize the configuration of facial elements, maximizing likeness while satisfying a
number of constraints. The effectiveness of our algorithm is demonstrated with experimental results
Proceedings of the SAB'06 Workshop on Adaptive Approaches for Optimizing Player Satisfaction in Computer and Physical Games
These proceedings contain the papers presented at the Workshop on Adaptive approaches
for Optimizing Player Satisfaction in Computer and Physical Games held at the Ninth
international conference on the Simulation of Adaptive Behavior (SAB’06): From
Animals to Animats 9 in Rome, Italy on 1 October 2006.
We were motivated by the current state-of-the-art in intelligent game design using
adaptive approaches. Artificial Intelligence (AI) techniques are mainly focused on
generating human-like and intelligent character behaviors. Meanwhile there is generally
little further analysis of whether these behaviors contribute to the satisfaction of the
player. The implicit hypothesis motivating this research is that intelligent opponent
behaviors enable the player to gain more satisfaction from the game. This hypothesis may
well be true; however, since no notion of entertainment or enjoyment is explicitly
defined, there is therefore little evidence that a specific character behavior generates
enjoyable games.
Our objective for holding this workshop was to encourage the study, development,
integration, and evaluation of adaptive methodologies based on richer forms of humanmachine
interaction for augmenting gameplay experiences for the player. We wanted to
encourage a dialogue among researchers in AI, human-computer interaction and
psychology disciplines who investigate dissimilar methodologies for improving gameplay
experiences. We expected that this workshop would yield an understanding of state-ofthe-
art approaches for capturing and augmenting player satisfaction in interactive systems
such as computer games.
Our invited speaker was Hakon Steinø, Technical Producer of IO-Interactive, who
discussed applied AI research at IO-Interactive, portrayed the future trends of AI in
computer game industry and debated the use of academic-oriented methodologies for
augmenting player satisfaction. The sessions of presentations and discussions where
classified into three themes: Adaptive Learning, Examples of Adaptive Games and Player
Modeling.
The Workshop Committee did a great job in providing suggestions and informative
reviews for the submissions; thank you! This workshop was in part supported by the
Danish National Research Council (project no: 274-05-0511). Finally, thanks to all the
participants; we hope you found this to be useful!peer-reviewe
Winning the 3rd Japan Automotive AI Challenge -- Autonomous Racing with the Autoware.Auto Open Source Software Stack
The 3rd Japan Automotive AI Challenge was an international online autonomous
racing challenge where 164 teams competed in December 2021. This paper outlines
the winning strategy to this competition, and the advantages and challenges of
using the Autoware.Auto open source autonomous driving platform for multi-agent
racing. Our winning approach includes a lane-switching opponent overtaking
strategy, a global raceline optimization, and the integration of various tools
from Autoware.Auto including a Model-Predictive Controller. We describe the use
of perception, planning and control modules for high-speed racing applications
and provide experience-based insights on working with Autoware.Auto. While our
approach is a rule-based strategy that is suitable for non-interactive
opponents, it provides a good reference and benchmark for learning-enabled
approaches.Comment: Accepted at Autoware Workshop at IV 202
Weymouth's once in a lifetime opportunity.
On the 6 July 2005 much changed for the towns of Weymouth and Portland, Dorset as they
heard that in seven years time they would be hosting the sailing for the successful London 2012
Olympic Bid. Two years later on, and whilst the Weymouth and Portland National Sailing Academy
(WPNSA) has swung into action with its preparations, the town of Weymouth itself in some respects
appears to be unsure of it’s future direction. At the time of the bid the road issue was still uppermost
in the minds of the residents; however that issue has potentially been resolved with the Government
announcing the decision to build the relief road in time for the 2012 Games which will alter significantly
the arrival of visitors into the town from Dorchester, until now a potential traffic nightmare
for both visitors and residents alike with long delays and traffic bottlenecks. Yet, within the town
itself, little has changed. Many plans are being suggested about developments including the new
Pavilion Peninsula and also the redevelopment of the waterfront esplanade, but it would appear that
the town is slightly indecisive as to where it wants to position itself with regard to attracting visitors
and income to the town.
Weymouth needs to decide on its strategy for the future, by adopting a concerted approach to
attract certain segments of the market and invest sensibly in these areas, rather than trying to spread
itself too thinly across all market sectors. The role of a good events portfolio could be a major contributor
to a successful marketing strategy. From research undertaken in 2004 ( Sadd, 2004 ), it is
evident that the locals are keen for the ‘ season ’ to be all year around and they recognise the importance
of events in the town and how, historically, they have been a great source of celebration, ranging
from the military parades to the hosting of the tall ships for an unprecedented three times. This
chapter will explain the historical underpinning of Weymouth’s present situation and will make suggestions
for possible events based strategies to maximise the potential benefits to be gained from
being Olympic Hosts in 2012
A panorama of artificial and computational intelligence in games
This paper attempts to give a high-level overview
of the field of artificial and computational intelligence (AI/CI)
in games, with particular reference to how the different core
research areas within this field inform and interact with each
other, both actually and potentially. We identify ten main
research areas within this field: NPC behavior learning, search
and planning, player modeling, games as AI benchmarks,
procedural content generation, computational narrative, believable
agents, AI-assisted game design, general game artificial
intelligence and AI in commercial games. We view and analyze
the areas from three key perspectives: (1) the dominant AI
method(s) used under each area; (2) the relation of each area
with respect to the end (human) user; and (3) the placement of
each area within a human-computer (player-game) interaction
perspective. In addition, for each of these areas we consider how
it could inform or interact with each of the other areas; in those
cases where we find that meaningful interaction either exists or
is possible, we describe the character of that interaction and
provide references to published studies, if any. We believe that
this paper improves understanding of the current nature of the
game AI/CI research field and the interdependences between
its core areas by providing a unifying overview. We also believe
that the discussion of potential interactions between research
areas provides a pointer to many interesting future research
projects and unexplored subfields.peer-reviewe
Flightmare: A Flexible Quadrotor Simulator
Currently available quadrotor simulators have a rigid and highly-specialized
structure: either are they really fast, physically accurate, or
photo-realistic. In this work, we propose a paradigm-shift in the development
of simulators: moving the trade-off between accuracy and speed from the
developers to the end-users. We use this design idea to develop a novel modular
quadrotor simulator: Flightmare. Flightmare is composed of two main components:
a configurable rendering engine built on Unity and a flexible physics engine
for dynamics simulation. Those two components are totally decoupled and can run
independently from each other. This makes our simulator extremely fast:
rendering achieves speeds of up to 230 Hz, while physics simulation of up to
200,000 Hz. In addition, Flightmare comes with several desirable features: (i)
a large multi-modal sensor suite, including an interface to extract the 3D
point-cloud of the scene; (ii) an API for reinforcement learning which can
simulate hundreds of quadrotors in parallel; and (iii) an integration with a
virtual-reality headset for interaction with the simulated environment. We
demonstrate the flexibility of Flightmare by using it for two completely
different robotic tasks: learning a sensorimotor control policy for a quadrotor
and path-planning in a complex 3D environment
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