Abstract: Data representing a scene is received. The scene includes labeled elements such as walls, a floor, a ceiling, and objects placed at various locations in the scene. The original received scene may be modified in different ways to create new scenes that are based on the original scene. These modifications include adding clutter to the scene, moving one or more elements of the scene, swapping one or more elements of the scene with different labeled elements, changing the size, color, or materials associated with one or more of the elements of the scene, and changing the lighting used in the scene. Each new scene may be used to generate labeled training data for a classifier by placing a virtual sensor (e.g., a camera) in the new scene, and generating sensor output data for the virtual sensor based on its placement in the new scene.

Abstract: Data representing a scene is received. The scene includes labeled elements such as walls, a floor, a ceiling, and objects placed at various locations in the scene. The original received scene may be modified in different ways to create new scenes that are based on the original scene. These modifications include adding clutter to the scene, moving one or more elements of the scene, swapping one or more elements of the scene with different labeled elements, changing the size, color, or materials associated with one or more of the elements of the scene, and changing the lighting used in the scene. Each new scene may be used to generate labeled training data for a classifier by placing a virtual sensor (e.g., a camera) in the new scene, and generating sensor output data for the virtual sensor based on its placement in the new scene.

Abstract: One or more techniques and/or systems are disclosed for generating improved planar panorama imagery, which may be used to view street-level, human-scale locations along a desired path, for example. One or more desired objects can be detected in source imagery that may be used to produce the resulting planar panorama imagery. Respective object regions comprising a desired object can be identified in one or more frames of the source imagery. One or more portions of the source imagery that do not comprise the object region for the desired object can be joined with at least some of the one or more frames that do comprise the object region for the desired object. The resulting planar panorama imagery can thus comprise the desired object. Also, the planar panorama imagery can be generated so as to lack one or more non-desired objects and/or adverse effects that may result therefrom.

Abstract: One or more techniques and/or systems are disclosed for generating improved planar panorama imagery, which may be used to view street-level, human-scale locations along a desired path, for example. One or more desired objects can be detected in source imagery that may be used to produce the resulting planar panorama imagery. Respective object regions comprising a desired object can be identified in one or more frames of the source imagery. One or more portions of the source imagery that do not comprise the object region for the desired object can be joined with at least some of the one or more frames that do comprise the object region for the desired object. The resulting planar panorama imagery can thus comprise the desired object. Also, the planar panorama imagery can be generated so as to lack one or more non-desired objects and/or adverse effects that may result therefrom.

Abstract: One or more techniques and/or systems are disclosed for generating improved planar panorama imagery, which may be used to view street-level, human-scale locations along a desired path, for example. One or more desired objects can be detected in source imagery that may be used to produce the resulting planar panorama imagery. Respective object regions comprising a desired object can be identified in one or more frames of the source imagery. One or more portions of the source imagery that do not comprise the object region for the desired object can be joined with at least some of the one or more frames that do comprise the object region for the desired object. The resulting planar panorama imagery can thus comprise the desired object. Also, the planar panorama imagery can be generated so as to lack one or more non-desired objects and/or adverse effects that may result therefrom.