Graphics hardware has in recent years become increasingly programmable, and its programming APIs use the stream processor model to expose massive parallelization to the programmer. We evaluate and discuss each approach by way of user studies, and make our codebase available as an open-source toolkit. We thus demonstrate and evaluate solutions for (1) providing motion parallax during the viewing of 360° images, using a VR interface for estimating depth information, (2) automatically generating responsive 3D virtual agents from 360° videos, by combining pre-trained deep learning networks, and (3) rendering captured view-dependent effects at high framerates in a game engine widely used for VR development, which we apply to digitally recreate a museum's mineralogy collection. Therefore, in this thesis, we investigate the extent to which users can be made more comfortable when viewing digital replicas of the real world in VR, by enhancing, combining, and designing new solutions for creating virtual environments from input sets of photographs. Finally, further complications arise when the goal is to virtually recreate people, as inaccuracies in the appearance of the displayed 3D characters or unconvincing responsive behavior may be additional sources of unease. Standard 3D reconstruction pipelines thus commonly average out captured view-dependent effects such as specular reflections, whereas complex image-based rendering algorithms often fail to achieve VR-compatible framerates, and are likely to cause distracting visual artifacts outside of a small range of head motion. In the same way, existing solutions most often fail to accurately render the scene's visual appearance in a comfortable fashion.

as the scene appears distorted or seems to move with the viewer during head motion. In particular, accurately recovering the scene's 3D geometry is a difficult task, causing many existing approaches to make approximations that are likely to cause discomfort, e.g. However, such image-based virtual environments are often flawed such that they fail to provide users with a comfortable viewing experience. photographs and videos, into immersive 360° scenes and interactive 3D objects. This is typically done by transforming sets of input images, i.e. Please let me know if you have any questions on the same.There are many applications to capturing and digitally recreating real-world people and places for virtual reality (VR), such as preserving and promoting cultural heritage sites, placing users face-to-face with faraway family and friends, and creating photorealistic replicas of specific locations for therapy and training. To remove the wireframe from MX view, click on Element Selection icon (arrow icon), select the wireframe, once the wireframe is highlighted click delete button Rename the TMP CONTOURS to DTM CONTOURS.ġ4.

Uncheck ‘Delete Analysis from the Display’, Check ‘Compress Model and Drawing Files’ > Finish.ġ3. Select Contours and set Normal and Prominent Contour Interval > Next.ġ2. Select MX Analysis > Surface Analysis, Model to analyse is ‘DTM TRIANGLES’, Triangulation String Name ‘TX00’ and hit Next.ġ1. The MX Triangulation is now ready for use.ġ0. Select to accept, Triangulation name as “TX00” the select. Enter the Triangulation name “DTM TRIANGLES” and “Model not Found Window” pops out. As soon as accept the selection, Triangulation from Mesh window pops out.ĩ. Click on the frame to select the frame and outside the frame to confirm the selection.Ĩ. Data point (Left mouse click) in view to accept the selection. Select the mesh from the view (Left mouse click on mesh)ħ. Choose 'Wireframe' display option on the Display style tab from View Attributes and Select MX Keyins > mx export mesh2triaĦ. Import selected area of interest from Google Earth in MXROAD using Geographic Co-ordinate system.ĥ. Both Google Earth and MXROAD must be open simultaneously.Ĥ. After starting MX, select 'New Project' and select the new folder.ģ. Create a new and empty project (must not contain any other files) before you start the MX. Select subdivision site in Google Earth and Window into area of interest.

Dmesh triangulation