Method and system for generating a 3D model from images
A method for generating a three dimensional (3D) model of an object from a series of two dimensional (2D) images is described. The series of 2D images depict varying views of the object and have associated camera parameter information. The method includes the steps of tracing the object in a first 2D image selected from the series of 2D images to provide a first set of tracing information, then tracing the object in a second 2D image selected from the series of 2D images to provide a second set of tracing information. The 3D model of the object is then generated based on the camera parameter information and the first and second sets of tracing information.
1. A method for generating a three dimensional (3D) model of an object from a series of two dimensional (2D) images, wherein the series of 2D images depict varying views of the object and have associated camera parameter information, the method comprising:
tracing the object in a first 2D image selected from the series of 2D images to provide a first set of tracing information;
displaying a second 2D image selected from the series of 2D images on a display;
projecting, on the display, an estimated representation of the object derived from the first set of tracing information onto the second 2D image selected from the series of 2D images;
modifying, on the display, the estimated representation of the object that is projected on the second 2D image based on the second 2D image that is displayed on the display to provide a second set of tracing information; and
generating the 3D model of the object based on the camera parameter information and the first and second sets of tracing information.
2. The method of claim 1 further comprising:
refining, on the display, the estimated representation of the object that is projected onto the second 2D image for further providing the second set of tracing information.
3. The method of claim 1 , wherein the generating of the 3D model includes basing the generation on additional 3D point information related to the object.
4. The method of claim 1 , wherein the series of 2D images is a sequence of 2D images.
5. The method of claim 4 , wherein the sequence of 2D images is a video image sequence.
6. The method of claim 5 , wherein the camera parameter information is derived from a structure from motion analysis of the video image sequence.
7. The method of claim 1 , wherein the modifying is facilitated by snap fitting to pixel boundaries.
8. A method for generating a three dimensional (3D) model of an object from a series of two dimensional (2D) images, wherein the plurality of 2D images depict varying views of the object and have associated camera parameter information, the method comprising:
selecting a geometric primitive and lining up the geometric primitive with shape characteristics of the object to trace the object in a first 2D image;
displaying a second 2D image selected from the series of 2D images on a display;
projecting, on the display, the geometric primitive as traced in the first 2D image onto the second 2D image selected from the series of 2D images;
modifying, on the display, the projected geometric primitive that is projected on the second 2D image based on the second 2D image that is displayed on the display to trace the object in the second 2D image; and
generating the 3D model based on the modified geometric primitive and the camera parameter information associated with the first and second 2D images.
9. The method of claim 8 , wherein the geometric primitive is a 3D geometric primitive.
10. The method of claim 8 , wherein the generating of the 3D model includes basing the generation on additional 3D point information related to the object.
11. The method of claim 8 , wherein the series of 2D images is a sequence of 2D images.
12. The method of claim 11 , wherein the sequence of 2D images is a video image sequence.
13. The method of claim 12 , wherein the camera parameter information is derived from a structure from motion analysis of the video image sequence.
14. The method of claim 8 , wherein the modifying is facilitated by snap fitting to pixel boundaries.