55,620 research outputs found
Emotional Qualities of VR Space
The emotional response a person has to a living space is predominantly
affected by light, color and texture as space-making elements. In order to
verify whether this phenomenon could be replicated in a simulated environment,
we conducted a user study in a six-sided projected immersive display that
utilized equivalent design attributes of brightness, color and texture in order
to assess to which extent the emotional response in a simulated environment is
affected by the same parameters affecting real environments. Since emotional
response depends upon the context, we evaluated the emotional responses of two
groups of users: inactive (passive) and active (performing a typical daily
activity). The results from the perceptual study generated data from which
design principles for a virtual living space are articulated. Such a space, as
an alternative to expensive built dwellings, could potentially support new,
minimalist lifestyles of occupants, defined as the neo-nomads, aligned with
their work experience in the digital domain through the generation of emotional
experiences of spaces. Data from the experiments confirmed the hypothesis that
perceivable emotional aspects of real-world spaces could be successfully
generated through simulation of design attributes in the virtual space. The
subjective response to the virtual space was consistent with corresponding
responses from real-world color and brightness emotional perception. Our data
could serve the virtual reality (VR) community in its attempt to conceive of
further applications of virtual spaces for well-defined activities.Comment: 12 figure
Vision systems with the human in the loop
The emerging cognitive vision paradigm deals with vision systems that apply machine learning and automatic reasoning in order to learn from what they perceive. Cognitive vision systems can rate the relevance and consistency of newly acquired knowledge, they can adapt to their environment and thus will exhibit high robustness. This contribution presents vision systems that aim at flexibility and robustness. One is tailored for content-based image retrieval, the others are cognitive vision systems that constitute prototypes of visual active memories which evaluate, gather, and integrate contextual knowledge for visual analysis. All three systems are designed to interact with human users. After we will have discussed adaptive content-based image retrieval and object and action recognition in an office environment, the issue of assessing cognitive systems will be raised. Experiences from psychologically evaluated human-machine interactions will be reported and the promising potential of psychologically-based usability experiments will be stressed
VITON: An Image-based Virtual Try-on Network
We present an image-based VIirtual Try-On Network (VITON) without using 3D
information in any form, which seamlessly transfers a desired clothing item
onto the corresponding region of a person using a coarse-to-fine strategy.
Conditioned upon a new clothing-agnostic yet descriptive person representation,
our framework first generates a coarse synthesized image with the target
clothing item overlaid on that same person in the same pose. We further enhance
the initial blurry clothing area with a refinement network. The network is
trained to learn how much detail to utilize from the target clothing item, and
where to apply to the person in order to synthesize a photo-realistic image in
which the target item deforms naturally with clear visual patterns. Experiments
on our newly collected Zalando dataset demonstrate its promise in the
image-based virtual try-on task over state-of-the-art generative models
Dynamic urban projection mapping
“Dynamic projection mapping” is a variation of the best-known “projection mapping”. It
considers the perceptual analysis of the urban landscape in which the video projection and the
observer’s displacement speed are hypothesized. This latter, in particular, is variable and may
depend on factors not directly controllable by the driver (slowdowns due to accidents, rallies, etc.).
This speed can be supported and controlled by a number of traffic flow measurement systems. These
data are available on the internet, like Google Maps APIs and/or speed sensors located close to the
point of interest. The content of projection becomes dynamic and varies according to how the
observer perceives the vehicle: slow, medium, fast
Perception, cognition, and action in hyperspaces: implications on brain plasticity, learning, and cognition
We live in a three-dimensional (3D) spatial world; however, our retinas receive a pair of 2D projections of the 3D environment. By using multiple cues, such as disparity, motion parallax, perspective, our brains can construct 3D representations of the world from the 2D projections on our retinas. These 3D representations underlie our 3D perceptions of the world and are mapped into our motor systems to generate accurate sensorimotor behaviors. Three-dimensional perceptual and sensorimotor capabilities emerge during development: the physiology of the growing baby changes hence necessitating an ongoing re-adaptation of the mapping between 3D sensory representations and the motor coordinates. This adaptation continues in adulthood and is quite general to successfully deal with joint-space changes (longer arms due to growth), skull and eye size changes (and still being able of accurate eye movements), etc. A fundamental question is whether our brains are inherently limited to 3D representations of the environment because we are living in a 3D world, or alternatively, our brains may have the inherent capability and plasticity of representing arbitrary dimensions; however, 3D representations emerge from the fact that our development and learning take place in a 3D world. Here, we review research related to inherent capabilities and limitations of brain plasticity in terms of its spatial representations and discuss whether with appropriate training, humans can build perceptual and sensorimotor representations of spatial 4D environments, and how the presence or lack of ability of a solid and direct 4D representation can reveal underlying neural representations of space.Published versio
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