Abstract: Embodiments relate to locking geometric and camera parameters in image-based three-dimensional modeling. In a first embodiment, a computer-implemented method modifies a three-dimensional model using a set of two-dimensional photographic images. In the method, at least one constraint, input by a user, for a two-dimensional photographic image from the set of two-dimensional photographic images are received. Each constraint indicates that a position on the two-dimensional photographic image corresponds to a position on the three-dimensional model. When the number of constraints received for the two-dimensional photographic image is less than or equal to a first threshold value, camera parameters representing a camera that took the constrained photographic image. Finally, a photogrammetry algorithm is applied to at least the set of parameters to determine at least one unlocked parameter in the set of parameters and to modify the three-dimensional model based on the constraints.

Abstract: A filter for filtering out spurious motion from a sequence of video images, for use in video image signal processing to identify objects in motion in the sequence of video images. Spurious motion is chaotic, repetitive, jittering portions of an image that constitute noise and interfere with motion detection in video signals. The filter keeps track of the location and the strengths of spurious motion, applies appropriate low pass filtering strengths according to the spurious motion strengths in real-time. Regular pixels without spurious motion will pass through the filter unaltered, while pixels with spurious motion will be “smoothed” to avoid being detected as noise.