摘要:
A method of processing a set of images of a scene is disclosed. The set is represented by a plurality of picture-elements defining an image plane, and the images are characterized by different light intensity spatial distributions but the same viewpoint relative to the scene. The method comprises: for each of at least some picture-elements, independently selecting a direction parallel to the image plane, constructing a weighted vector field based on the selected direction, and calculating a height of a surface in the scene perpendicular to the image plane based on the constructed weighted vector field. The method further comprises reconstructing a three-dimensional spatial representation of the surface based on the heights; and transmitting the spatial representation to a computer readable medium.
摘要:
Methods and devices of studying a predefined portion of an object having a feature of interest are disclosed. The feature of interest defines a class of objects that includes the object. Light sources directly illuminate the object from different illumination directions. The light sources are maintained in a stable configuration relative to the object. For each illumination direction, an image is generated from light scattered from the object with a camera maintained in a stable configuration relative to the light sources. A methodology derived from machine learning for the class of objects is applied to filter the generated images are filtered for a characteristic consistent with the feature of interest. Surface gradients are determined from the filtered images and integrated to generate a topography of a surface of the object.
摘要:
There is described a method and 3D image acquisition system for addressing the specular nature of metallic surfaces in general, and ballistic pieces of evidence in particular, using photometric stereo by identifying and solving a plurality of sets of non-linear equations comprising a diffusive term and a specular term to determine a surface normal vector field N(x,y), and using N(x,y) to determine a 3D topography Z(x,y).
摘要:
A method and system for three dimensional presentation of two dimensional images in a video sequence having a plurality of frames is provided. In one embodiment, the method comprises identifying a plurality of points to be presented in three dimensional images and performing a color and depth sequence analysis for each of these points. A profile is then generated for each of the points based on the analysis. The profiles are classified as variable profiles or constant profiles and a surface reflectance is calculated for each of the points having a constant profile. The method also comprises modifying the two dimensional images to be presented as three dimensional images for points having a constant profile, wherein the images maintain uniform color and appearance between adjacent frames along said video sequence.
摘要:
Methods and devices of studying a predefined portion of an object having a feature of interest are disclosed. The feature of interest defines a class of objects that includes the object. Light sources directly illuminate the object from different illumination directions. The light sources are maintained in a stable configuration relative to the object. For each illumination direction, an image is generated from light scattered from the object with a camera maintained in a stable configuration relative to the light sources. A methodology derived from machine learning for the class of objects is applied to filter the generated images are filtered for a characteristic consistent with the feature of interest. Surface gradients are determined from the filtered images and integrated to generate a topography of a surface of the object.
摘要:
Methods and devices of studying a predefined portion of an object having a feature of interest are disclosed. The feature of interest defines a class of objects that includes the object. Light sources directly illuminate the object from different illumination directions. The light sources are maintained in a stable configuration relative to the object. For each illumination direction, an image is generated from light scattered from the object with a camera maintained in a stable configuration relative to the light sources. A methodology derived from machine learning for the class of objects is applied to filter the generated images are filtered for a characteristic consistent with the feature of interest. Surface gradients are determined from the filtered images and integrated to generate a topography of a surface of the object.