论文信息 - 3D Trajectories from a Single Viewpoint using Shadows

3D Trajectories from a Single Viewpoint using Shadows

We consider the problem of obtaining the 3D trajectory of a ball from a sequence of images taken with a camera which is possibly rotating and zooming (but not translating). Techniques are developed to compute the component of image motion of the ball due to camera rotation and zoom, using optic flow. The 3D location of the ball in each frame of the sequence is then determined using a novel geometric construction which makes use of shadows on the known ground plane in order to compute the vertical projection of the ball onto the ground, and the height of the ball above the ground.

Ian D. Reid | A. North

[1] Andrew Zisserman,et al. Geometric invariance in computer vision , 1992 .

[2] Takeo Kanade,et al. An Iterative Image Registration Technique with an Application to Stereo Vision , 1981, IJCAI.

[3] David W. Murray,et al. Experiments in the machine interpretation of visual motion , 1990 .

[4] David A. Forsyth,et al. Extracting projective structure from single perspective views of 3D point sets , 1993, 1993 (4th) International Conference on Computer Vision.

[5] Yongduek Seo,et al. Physics-based 3D position analysis of a soccer ball from monocular image sequences , 1998, Sixth International Conference on Computer Vision (IEEE Cat. No.98CH36271).