This paper proposes a new interactive flow visualization environment featured with an eye gaze interface. Gaze information is used to automatically adapt the display of flow field to the interest of users. We propose to use focus-plus-context techniques for effectively visualizing the local details together with the global context of large complex 2D flow fields in a gaze-directed way. Gaze-based interaction is also supported. Tracers can be automatically inserted at user’s gaze points. Since there are no necessity of using other input devices for interacting with the system except for observing the flow using their eyes, users are allowed to concentrate on the observing tasks and interact with the system in an easier, faster and more natural way.
KEYWORDS: Digital watermarking, 3D modeling, Data modeling, Affine motion model, Multimedia, Systems modeling, Data hiding, Information security, Visualization, Steganography
Digital water marking, the technique for hiding information into multimedia contents, is attracting large attentions in the recent years. This paper proposes a new water marking technique for 3D geometric models. The new algorithm retriangulates a part of a triangle mesh and embeds the watermark into the positions of the newly added vertices. Up to 8 bytes data can be invisibly embedded into an edge of the triangle mesh without causing any changes to the geometry of the original 3D model. The embedded watermark resists affine transformation and can be extracted only from the stego-model without using the original cover model.
KEYWORDS: Visualization, Distortion, Image processing, 3D vision, Image filtering, 3D image processing, Computer engineering, Linear filtering, Image visualization, 3D acquisition
The success of using streamline technique for visualizing a vector field usually depends largely on the choosing of adequate seed points. This paper propose a new technique for automatically placing seed points to create evenly spaced streamlines on 3D parametric surfaces found in curvilinear grids. The new technique extends Jobard and Lefer's distance-based single pass approach for placing streamlines in the 2D computational space of the surface. Experimental result show that the new technique produces streamline images of competitive quality at much lower computational expense image-guided progressive refinement approach. A method for compensating the visual streamline density distortion caused by projection is also presented.
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