Abstract: Gradient domain editing of animated meshes is described. Exemplary systems edit deforming mesh sequences by applying Laplacian mesh editing techniques in the spacetime domain. A user selects relevant frames or handles to edit and the edits are propagated to the entire sequence. For example, if the mesh depicts an animated figure, then user-modifications to position of limbs, head, torso, etc., in one frame are propagated to the entire sequence. In advanced editing modes, a user can reposition footprints over new terrain and the system automatically conforms the walking figure to the new footprints. A user-sketched curve can automatically provide a new motion path. Movements of one animated figure can be transferred to a different figure. Caricature and cartoon special effects are available. The user can also select spacetime morphing to smoothly change the shape and motion of one animated figure into another over a short interval.

Abstract: Gradient domain editing of animated meshes is described. Exemplary systems edit deforming mesh sequences by applying Laplacian mesh editing techniques in the spacetime domain. A user selects relevant frames or handles to edit and the edits are propagated to the entire sequence. For example, if the mesh depicts an animated figure, then user-modifications to position of limbs, head, torso, etc., in one frame are propagated to the entire sequence. In advanced editing modes, a user can reposition footprints over new terrain and the system automatically conforms the walking figure to the new footprints. A user-sketched curve can automatically provide a new motion path. Movements of one animated figure can be transferred to a different figure. Caricature and cartoon special effects are available. The user can also select spacetime morphing to smoothly change the shape and motion of one animated figure into another over a short interval.

Abstract: The shapes of many natural or man-made objects have curve features. The images of such curves usually do not have sufficient distinctive features to apply conventional feature-based reconstruction algorithms. In this paper, we introduce a photogrammetric method for recovering free-form objects with curvilinear structures. Our method chooses to define the topology and recover a sparse 3D wireframe of the object first instead of directly recovering a surface or volume model. Surface patches covering the object are then constructed to interpolate the curves in this wireframe while satisfying certain heuristics such as minimal bending energy. The result is an object surface model with curvilinear structures from a sparse set of images. We can produce realistic texture-mapped renderings of the object model from arbitrary viewpoints. Reconstruction results on multiple real objects are presented to demonstrate the effectiveness of our approach.