#15# Niem W., 1994, #Robust and Fast Modelling of 3D Natural Objects from Multiple Views.", SPIE Procs. - Image and Video Processing II, 388#397 #16# Gibson D. P., Campbell N. W. and Thomas B.  Home/Search Document Details and Download
Summary Related Articles Check |
This paper is cited in the following contexts:
On Combining Shape from Silhouette and Shape from.. - Tosovic, Sablatnig, Kampe (2002) (Correct)
....by intersecting each new silhouette with the already existing model. The last two approaches project an octree node into the image plane to perform the intersection between the octree node and the object ssilhouette.SrivastavaandAhuja[20]incontrast,performtheintersectionsin3D space. Niem[15]usespillar likevolumeelements(pillars)ratherthanoctreeformodelrepresentation. DeBonetandViola[4]extendedtheideaofvoxelreconstructiontotransparentobjects by introducing the Roxel algorithm a responsibility weighted 3D volume reconstruction. ....
W. Niem. Robust and fast modelling of 3D natural objects from multiple views. In Image and Video Processing II, Proc. of SPIE, pages 388--397, 1994.
Constrained Structure and Motion From Multiple Uncalibrated.. - Bartoli, Sturm (2003) (4 citations) (Correct)
....matching [30] space carving [21, 31] or plenoptic modeling [14, 23] The main limitation of at least the latter approach is that a high number of images is necessary to achieve accurate reconstruction. Other approaches relying on an a priori known envi ronment (e.g. using turn table sequences [27, 38] or apparent contours [8] can produce high quality rendering but do not work in the general case. Actually, there exists a continuum between the two extreme feature and primitive based categories, made of hybrid approaches using both features and primitives. These approaches are made to draw ....
W. Niem. Robust and fast modelling of 3D natural objects from multiple views. In Proceedings of the sine Conference on Image and Video Processing II, San Jose, USA, volume 2182, pages 388-397, February 1994.
Model Reconstruction for a Virtual Interactive MERLIN - Lyness, Marte, Wong, Marais (1999) (Correct)
....representation. A sequence of depth maps are used to add surface concavities to the model. Following this, the surface points are found and used in the final step of the process, which entails the fitting of a triangular mesh to the model. The system is based on the approach suggested by Niem [Nie94], but includes several optimisations and extensions. One such extension is the ability to automatically calibrate the camera, so that no previous information for camera parameters is assumed. The camera parameters are calculated from the image sequence [Fit] whereas Niem s system requires a ....
....being modelled are examples of African art, images of which were provided by the CAMA (Contempory African Music and Arts) group. Although, the system was designed with the CAMA images in mind, it is able to model other objects as well. While this work adopts the approach taken by Niem et al. [Nie94][Nieb] Niea] we do not assume prior knowledge (calibration) of the camera system. A method of automatically calculating camera parameters [Fit] was utilised. The poor quality of the images provided by CAMA also introduced the requirement for improved image segmentation (silhouette extraction) ....
[Article contains additional citation context not shown here]
Niem, Wolfgang. Robust and Fast Modelling of 3D Natural Objects from Multiple Views, volume 2182. 1994.
Low-Cost Model Reconstruction from Image Sequences - Lyness, Marte, Wong, Marais (Correct)
....camera and is in the process of constructing a turntable, the work we are completing will enable them to travel to isolated areas and readily set up a system for capturing images of an artifact, from which we can reconstruct a model. The approach we use, which is based on the work of Niem [10], uses multiple views of an object (captured at different angles) and creates a solid 3D model through volume carving. The steps in the process can be summarised as follows: 1. Silhouettes are extracted from the input images. 2. The camera parameters are then determined. 3. The volume model is ....
....line defined by the end points (c) Clip the line to the silhouette (d) Project lines endpoints into object space (3D) e) Replace the pillar with those defined by the new endpoints. Figure 4: Pseudo code for carving a volume 4 Volume Carving The volume carving stage is based on work done by [10] and is summarised here. The object is represented as a volume, rather than a surface mesh, and is initially estimated as a cube. The dimensions of the cube are calculated from the size of the cylinder created by sweeping one of the images around the axis of rotation. The volume is then ....
W. Niem. Robust and fast modelling of 3d natural objects from multiple views. In SPIE Proceedings, Image and Video Processing II, volume 2182, pages 388--397, 1994.
The Generation Of 3-D Models Without Camera Calibration - Gibson, Campbell, Thomas (1998) (Correct)
....the contour [10] 11] Many other passive methods have been studied, e.g. model fitting[12] 13] however, they often struggle with irregular real shapes. Of the silhouette based methods, many use the geometric simplification of assuming orthographic projection and pre calibration of the camera [14][15][9] while Jones presents the radial intersection set for shape representation [16] Both of these simplications are undesirable as they can increase the amount of user input required and restrict the potential portability of the system. The system described in this paper requires no ....
....optimisation based on a number of golden search functions [17] The number of unknowns is based on the above variables plus the number of images used. As the optimisation converges a first approximation of the camera calibration is obtained. Unlike other work, which has used octrees [18] pillars [15] or geometric techniques [14] 16] we have used a dynamically sized cube, centred at the origin and made up of 64 3 voxels for the volume representation. For each view, a cone is created by the object silhouette and the camera viewpoint. The centroid of each voxel is projected into each of the ....
W. Niem, Robust and Fast Modelling of 3-D Natural Objects from Multiple Views, SPIE Proceedings - Image and Video Processing II, 2182, 1994, 388-397.
The Generation of 3-D Models of Outdoor Objects from.. - Gibson, Campbell, Thomas (Correct)
No context found.
#15# Niem W., 1994, #Robust and Fast Modelling of 3D Natural Objects from Multiple Views.", SPIE Procs. - Image and Video Processing II, 388#397 #16# Gibson D. P., Campbell N. W. and Thomas B.
The Generation of 3-D Models of Outdoor Objects from.. - Gibson, Campbell, Thomas (Correct)
No context found.
#15# Niem W., 1994, #Robust and Fast Modelling of 3D Natural Objects from Multiple Views.", SPIE Procs. - Image and Video Processing II, 388#397 #16# Gibson D. P., Campbell N. W. and Thomas B.
The Generation of 3-D Models of Outdoor Objects from.. - Gibson, Campbell, Thomas (Correct)
No context found.
#15# Niem W., 1994, #Robust and Fast Modelling of 3D Natural Objects from Multiple Views.", SPIE Procs. - Image and Video Processing II, 388#397 #16# Gibson D. P., Campbell N. W. and Thomas B.
The Generation of 3-D Models of Outdoor Objects from.. - Gibson, Campbell, Thomas (Correct)
No context found.
#15# Niem W., 1994, #Robust and Fast Modelling of 3D Natural Objects from Multiple Views.", SPIE Procs. - Image and Video Processing II, 388#397 #16# Gibson D. P., Campbell N. W. and Thomas B.
The Generation of 3-D Models of Outdoor Objects from.. - Gibson, Campbell, Thomas (Correct)
No context found.
#15# Niem W., 1994, #Robust and Fast Modelling of 3D Natural Objects from Multiple Views.", SPIE Procs. - Image and Video Processing II, 388#397 #16# Gibson D. P., Campbell N. W. and Thomas B.
The Generation of 3-D Models of Outdoor Objects from.. - Gibson, Campbell, Thomas (Correct)
No context found.
#15# Niem W., 1994, #Robust and Fast Modelling of 3D Natural Objects from Multiple Views.", SPIE Procs. - Image and Video Processing II, 388#397 #16# Gibson D. P., Campbell N. W. and Thomas B.
The Generation of 3-D Models of Outdoor Objects from.. - Gibson, Campbell, Thomas (Correct)
No context found.
#15# Niem W., 1994, #Robust and Fast Modelling of 3D Natural Objects from Multiple Views.", SPIE Procs. - Image and Video Processing II, 388#397 #16# Gibson D. P., Campbell N. W. and Thomas B.
Next View Planning for a Combination of Passive and.. - Sablatnig, Tosovic.. (Correct)
No context found.
W. Niem. Robust and fast modelling of 3D natural objects from multiple views. In Image and Video Processing II, Proceedings of SPIE, pages 388--397, 1994.
A Next View Planning Technique for Shape from.. - Sablatnig, Tosovic.. (Correct)
No context found.
W. Niem. Robust and fast modelling of 3D natural objects from multiple views. In Image and Video Processing II, Proceedings of SPIE, pages 388--397, 1994.
Octree-based Fusion of Shape from Silhouette and Shape from .. - Martin Kampel Srdan (Correct)
No context found.
W. Niem. Robust and fast modelling of 3D natural objects from multiple views. In Image and Video Processing II, Proc. of SPIE, pages 388--397, 1994.
Ijcv - International Journal Of Computer Vision, - Vol No Pp (2004) (Correct)
No context found.
W. Niem. Robust and fast modelling of 3D natural objects from multiple views. In Proceedings of the SPIE Conference on Image and Video Processing II, San Jose, USA, volume 2182, pages 388--397, February 1994.
Adaptive 3D Modeling of Objects by Combining Shape from.. - Tosovic (2002) (Correct)
No context found.
W. Niem. Robust and fast modelling of 3D natural objects from multiple views. In Image and Video Processing II, Proceedings of SPIE, pages 388-- 397, 1994.
Online articles have much greater impact More about CiteSeer.IST Add search form to your site Submit documents Feedback
CiteSeer.IST - Copyright Penn State and NEC