EG 2018 - Postershttps://diglib.eg.org:443/handle/10.2312/26321612024-03-29T13:33:33Z2024-03-29T13:33:33ZFrom Spectra to Perceptual Color: Visualization Tools for the Dimensional Reduction Achieved by the Human Color SenseHarvey, Joshua S.Siviour, Clive R.Smithson, Hannah E.https://diglib.eg.org:443/handle/10.2312/egp201810252022-03-28T12:48:27Z2018-01-01T00:00:00ZFrom Spectra to Perceptual Color: Visualization Tools for the Dimensional Reduction Achieved by the Human Color Sense
Harvey, Joshua S.; Siviour, Clive R.; Smithson, Hannah E.
Jain, Eakta and Kosinka, Jirí
Physical colors, defined as unique combinations of photon populations whose wavelengths lie in the visible range, occupy an infinite-dimensional real Hilbert space. Any number of photon populations from the continuous spectrum of monochromatic wavelengths may be present to any positive amount. For normal vision, this space collapses to three dimensions at the retina, with any physical color eliciting just three sensor values corresponding to the excitations of the three classes of cone photoreceptor cells. While there are many mappings and visualizations of three-dimensional perceptual color space, attempts to visualize the relationship between infinite-dimensional physical color space and perceptual space are lacking. We present a visualization framework to illustrate this mathematical relation, using animation and transparency to map multiple physical colors to locations in perceptual space, revealing how the perceptual color solid can be understood as intersecting surfaces and volumes. This framework provides a clear and intuitive illustration of color metamerism.
2018-01-01T00:00:00ZA Multifragment Renderer for Material Aging VisualizationAdamopoulos, GeorgiosMoutafidou, AnastasiaDrosou, AnastasiosTzovaras, DimitriosFudos, Ioannishttps://diglib.eg.org:443/handle/10.2312/egp201810212022-03-28T12:48:21Z2018-01-01T00:00:00ZA Multifragment Renderer for Material Aging Visualization
Adamopoulos, Georgios; Moutafidou, Anastasia; Drosou, Anastasios; Tzovaras, Dimitrios; Fudos, Ioannis
Jain, Eakta and Kosinka, Jirí
People involved in curatorial work and in preservation/conservation tasks need to understand exactly the nature of aging and to prevent it with minimal preservation work. In this scenario, it is of extreme importance to have tools to produce and visualize digital representations and models of visual surface appearance and material properties, to help the scientist understand how they evolve over time and under particular environmental conditions. We report on the development of a multifragment renderer for visualizing and combining the results of simulated aging of artwork objects. Several natural aging processes manifest themselves through change of color, fading, deformations or cracks. Furthermore, changes in the materials underneath the visible layers may be detected or simulated.
2018-01-01T00:00:00ZA Virtual Space with Real IoT DataFaiers, AdamHoxey, ThomasStephenson, Ianhttps://diglib.eg.org:443/handle/10.2312/egp201810242022-03-28T12:49:54Z2018-01-01T00:00:00ZA Virtual Space with Real IoT Data
Faiers, Adam; Hoxey, Thomas; Stephenson, Ian
Jain, Eakta and Kosinka, Jirí
Large quantities of live data about an environment can be easily and cheaply collected using a network of small sensors (IoT). However these sensors typically do not display any information directly, and it can be difficult to understand the data collected. Conversely VR environments used for training, require scenarios to be created, populated with rich data. By linking the VR system directly to the IoT data broker we import the live (or recorded) status of real hardware from an industrial environment into the virtual world allowing a remote viewer to monitor the operation of the system.
2018-01-01T00:00:00ZBoundary-aided Human Body Shape and Pose Estimation from a Single Image for Garment Design and ManufactureXu, ZongyiZhang, Qiannihttps://diglib.eg.org:443/handle/10.2312/egp201810222022-03-28T12:48:31Z2018-01-01T00:00:00ZBoundary-aided Human Body Shape and Pose Estimation from a Single Image for Garment Design and Manufacture
Xu, Zongyi; Zhang, Qianni
Jain, Eakta and Kosinka, Jirí
Current virtual clothing design applications mainly use predefined virtual avatars which are created by professionals. The models are unrealistic as they lack the personalised body shapes and the simulation of human body muscle and soft tissue. To address this problem, we firstly fit the state-of-the-art parametric 3D human body model, SMPL, to 2D joints and boundary of the human body which are detected using CNN methods automatically. Considering the scenario of virtual dressing where people are usually in stable poses, we define a stable pose prior from CMU motion capture (mocap) dataset for further improving accuracy of pose estimation. Accurate estimation of human body shape and poses provides manufacturers and designers with more comprehensive human body measurements, which put a step forwards clothing design and manufacture through Internet.
2018-01-01T00:00:00Z