Abstract: Three-dimensional object edit and visualization techniques and systems are described. In a first example, a content navigation control is implemented by a content editing system to aid navigation through a history of how a three-dimensional environment and a three-dimensional object included in the environment is created. In a second example, the content editing system is configured to streamline placement of a three-dimensional object within a three-dimensional environment. The content editing system, for instance, generates a manipulation visualization in support of corresponding editing operations to act as a guide, e.g., as an alignment guide or an option guide. In a third example, the content editing system implements a shadow control that is usable as part of an editing and as a visualization to control rendering of illumination within a three-dimensional environment.

Abstract: Three-dimensional object edit and visualization techniques and systems are described. In a first example, a content navigation control is implemented by a content editing system to aid navigation through a history of how a three-dimensional environment and a three-dimensional object included in the environment is created. In a second example, the content editing system is configured to streamline placement of a three-dimensional object within a three-dimensional environment. The content editing system, for instance, generates a manipulation visualization in support of corresponding editing operations to act as a guide, e.g., as an alignment guide or an option guide. In a third example, the content editing system implements a shadow control that is usable as part of an editing and as a visualization to control rendering of illumination within a three-dimensional environment.

Abstract: A method for generating a volume for three-dimensional rendering extracts a plurality of images from a source image input, normalizes the extracted images to have a common pixel size, and determines a notional camera placement for each normalized image to obtain a plurality of annotated normalized images, each annotated with a respective point of view through the view frustum of the notional camera. From the annotated normalized images, the method generates a first volume encompassing a first three-dimensional representation of the target object and selects a smaller subspace within the first volume that encompasses the first three-dimensional representation of the target object. The method generates, from the annotated normalized images, a second volume overlapping the first volume, encompassing a second three-dimensional representation of the target object and having a plurality of voxels, and crops the second volume to limit the second volume to the subspace.

Abstract: A method for generating a volume for three-dimensional rendering extracts a plurality of images from a source image input, normalizes the extracted images to have a common pixel size, and determines a notional camera placement for each normalized image to obtain a plurality of annotated normalized images, each annotated with a respective point of view through the view frustum of the notional camera. From the annotated normalized images, the method generates a first volume encompassing a first three-dimensional representation of the target object and selects a smaller subspace within the first volume that encompasses the first three-dimensional representation of the target object. The method generates, from the annotated normalized images, a second volume overlapping the first volume, encompassing a second three-dimensional representation of the target object and having a plurality of voxels, and crops the second volume to limit the second volume to the subspace.

Abstract: A method for generating a volume for three-dimensional rendering extracts a plurality of images from a source image input, normalizes the extracted images to have a common pixel size, and determines a notional camera placement for each normalized image to obtain a plurality of annotated normalized images, each annotated with a respective point of view through the view frustum of the notional camera. From the annotated normalized images, the method generates a first volume encompassing a first three-dimensional representation of the target object and selects a smaller subspace within the first volume that encompasses the first three-dimensional representation of the target object. The method generates, from the annotated normalized images, a second volume overlapping the first volume, encompassing a second three-dimensional representation of the target object and having a plurality of voxels, and crops the second volume to limit the second volume to the subspace.