M. Potmesil. Generating octree models of 3D objects from their silhouettes in a sequence of images. Computer Vision, Graphics and Image Processing, 40(1):1--29, October 1987.  Home/Search   Document Not in Database   Summary   Related Articles   Check

....for both synthetic and real objects. 1 Introduction Shape from Silhouette is a method of automatic construction of a 3D model of an object based on a sequence of images of the object taken from multiple views, in which the object s silhouette representstheonlyinterestingfeatureoftheimage[21,18].Theobject ssilhouetteineach input image corresponds to a conic volume in the object real world space. A 3D model of the object can be built by intersecting the conic volumes from all views, which is also called Space Carving[12] Shape from Silhouette can be applied on objects with variety of ....

.... oftheobject.MartinandAggarwal[14]constructedvolumesegmentmodelsfromorthographic projectionofsilhouettes.ChienandAggarwal[7]constructedanobject soctreemodelfrom itsthreeorthographicprojections.VeenstraandAhuja[23]extendedthisapproachtothirteen standardorthographicviews.Potmesil[18]createdoctreemodelsusingarbitraryviewsand perspective projection. For each of the views he constructs an octree representing the correspondingconicvolumeandthenintersectsalloctrees. Incontrasttothis,Szeliski[21]first creates a low resolution octree model quickly and then refines this model ....

M. Potmesil. Generating octree models of 3D objects from their silhouettes in a sequence of images. Computer Vision, Graphics, and Image Processing, 40:1--29, 1987.

....but algorithmically lies closer to correspondence approaches because it checks the similarity (color consistency) of a given pixel across multiple images. A rich body of work describes silhouette research [4, 2, 13] Much of the research can be divided into two groups: volumetric representations [6, 19, 21, 22, 5] and image based representations [15] Other researchers have attempted to prove the limits of silhouette based reconstruction [11, 12] There has been a small body of work that combines the silhouette based and correspondence based approaches. Cross and Zisserman [7] and later, Mulayim and ....

M. Potmesil. Generating Octree Models of 3D Objects from Their Silhouettes in a Sequence of Images. CVGIP, 40:1--29, 1987.

....since the volume estimation allows a more precise classification. SfS is a method of automatic construction of a 3d model of an object based on a sequence of images of the object taken from multiple views, in which the object s silhouette represents the only interesting feature of the image [2, 12]. The object s silhouette in each input image corresponds to a conic volume in the object real world space. A 3d model of the object can be built by intersecting the conic volumes from all views, which is also called Space Carving [7] The method can be applied on objects of arbitrary shapes, ....

....many works on construction of 3d models of objects from multiple views. Baker [1] used silhouettes of an object rotating on a turntable to construct a wire frame model of the object. Martin and Aggarwal [10] constructed volume segment models from orthographic projection of silhouettes. Potmesil [12] created octree models using arbitrary views and perspective projection. In contrast to this, Szeliski [13] first created a low resolution octree model quickly and then refined this model iteratively, by intersecting each new silhouette with the already existing model. The work of Szeliski [13] ....

M. Potmesil. Generating octree models of 3D objects from their silhouettes in a sequence of images. CVGIP, 40:1--29, 1987.

....person. The acquired kinematic (shape and joint) information is then used to track the motion of the person in new video sequences. 1. Introduction Traditional Shape From Silhouette (SFS) assumes either that all of the silhouette images are captured at the same time or that the object is static [15, 18, 14]. Although systems have been proposed to apply SFS to video [5, 2] these systems apply SFS to each frame sequentially and independently. Recently there has been some work on using SFS on rigidly moving objects to recover shape and motion [21, 22] or to refine the shape over time [4] These ....

M. Potmesil. Generating octree models of 3D objects from their silhouettes in a sequence of images. Computer Vision, Graphics and Image Processing, 40:1--20, 1987.

....that were proposed in the last two decades, the method of Visual Hull (VH) construction or Shape From Silhouette (SFS) approximates the shape of an object using silhouette images. Since its first introduction in [1] different variations, representations and applications of SFS have been proposed [14, 15, 10, 11, 2, 4, 9, 21], and it has become a standard and popular method of shape estimation. Estimating 3D shape using SFS has many advantages. Silhouettes are readily and easily obtainable and the implementation of SFS methods is generally straightforward. The visual hulls constructed using SFS provide an upper bound ....

M. Potmesil. Generating octree models of 3D objects from their silhouettes in a sequence of images. Computer Vision, Graphics and Image Processing, 40:1--20, 1987.

....multiple camera views, known as shape from silhouette or the visual hull [17] has been presented. Early approaches in the field construct discrete three dimensional grids of volume elements (voxels) from a set of silhouette images of a scene, a method known as voxel carving or volume intersection [28, 25, 5]. More recently, it was shown that a polyhedral representation of the visual hull can be acquired and rendered in real time [20] An image based approach to visual hull construction samples and textures visual hulls along a discrete set of viewing rays [21] Stateof the art graphics hardware can ....

M. Potmesil. Generating octree models of 3d objects from their silhouettes in a sequence of images. Computer Vision, Graphics and Image Processing, 40:1--20, 1987.

....area in which the objects of interest lie. This area is frequently assumed to be a cube surrounding the scene. The most common approach to representing this volume is as a regular tessellation of cubes, called voxels, in Euclidean 3 space, though other representations have been studied. Octrees [10, 44, 55] enable more a space efficient encoding when the scene contains large transparent areas. Disparity space representations [24, 58, 8] are defined relative to one camera frame, describing space in terms of unit disparity increments in (x, y, d) space. To explicitly model visibility with respect to a ....

....the scene, resulting in an approximation that includes the visual hull as well as other scene points. Figure 16.1 shows an example of the volume constructed from three 1D views of a 2D scene. Many algorithms have been developed for constructing volumetric models from a set of silhouette images [1, 5, 9, 31, 32, 33, 37, 38, 42, 43, 44, 53, 54, 55]. Starting from a bounding volume that is known to enclose the entire scene, the volume is discretized into voxels and the task is to create a voxel occupancy description corresponding to the intersection of back projected silhouette cones. The main step in these algorithms is the intersection ....

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M. Potmesil. Generating octree models of 3D objects from their silhouettes in a sequence of images. Computer Vision, Graphics and Image Processing, 40:1--20, 1987.

....the method of occluding contours which uses the real object silhouettes. Busch [5] used a polygon approximation of the silhouettes to generate voxel models. Octree representations are generated by the algorithms of Jackins and Tanimoto [6] Meagher [7] Chien and Aggarwal [8] Potmesil [9] and Szeliski [10] These algorithms largely rely on intersecting voxel or octree cubes with the object silhouettes. These intersection tests are very time consuming. There are essentially two types of intersection tests: either in the silhouette image plane (2 dimensional test) or the voxel ....

M. Potmesil, Generating Octree Models of 3D Objects from their Silhouettes in a Sequence of Images, Comp. Vision Graphics Image Processing, Vol. 40, 1987, pp. 1-29

....area in which the objects of interest lie. This area is frequently defined to be a cube surrounding the scene. The most common approach to representing this volume is as a regular tesselation of cubes, called voxels, in Euclidean 3 space, though other representations have been studied. Octrees [10, 44, 55] enable more a space efficient encoding when the scene contains large transparent areas. Disparity space representations [24, 58, 8] are defined relative to one camera frame, describing space in terms of unit disparity increments in (x, y, d) space. To explicitly model visibility with respect to a ....

....the scene, resulting in an approximation that includes the visual hull as well as other scene points. Figure 1.1 shows an example of the volume constructed from three 1D views of a 2D scene. Many algorithms have been developed for constructing volumetric models from a set of silhouette images [1, 5, 9, 31, 32, 33, 37, 38, 42, 43, 44, 53, 54, 55]. Starting from a bounding volume that is known to enclose the entire scene, the 4 Figure 1.1 Reconstruction from three silhouettes. The generalized cones associated with the three images result in a reconstruction that includes the object (black) points in concavities that are not visible from ....

[Article contains additional citation context not shown here]

M. Potmesil. Generating octree models of 3D objects from their silhouettes in a sequence of images. Computer Vision, Graphics and Image Processing, 40:1--20, 1987.

....this paper, we present a view interpolation approach which we call AppearanceBased Virtual View Generation. First, a 3D model, which has enough geometrical information of a scene, is reconstructed from multiple images by using Multiple Baseline Stereo (MBS) 11] and Shape from Silhouette (SS) [4, 6]. Taking advantage of the fact that we have 3D models of the scene, geometrically accurate correspondences are derived from the 3D models. The precise and dense correspondences generate virtual views at arbitrary viewpoints without losing pixels even in occlusion regions. In the following ....

Potmesil, M.: Generating Octree Models of 3D Objects from Their Silhouettes in a Sequence of Images. Computer Vision, Graphics and Image Processing. 40 (1987) 277-283

....can be a tricky matter. The intersection of the volumes vh i is done with some form of CSG. If the silhouettes are polygonal, then the CSG can be done using polyhedral CSG but this is very hard to do in a robust fashion. More typically the CSG is done using a discrete voxelization of space [34]. In these systems one is usually severely limited by the low voxel resolutions achievable. The silhouette interpolation algorithm we use in our system provides us with a conservative approximation of the silhouette s c sill(v i ; vh 123 ) without ever explicitly constructing any visual hull data ....

POTMESIL, M. generating octree models of 3d objects from their silhouettes in a sequence of images. CVGIP 40 (1987), 1--29.

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M. Potmesil. Generating octree models of 3D objects from their silhouettes in a sequence of images. Computer Vision, Graphics and Image Processing, 40(1):1--29, October 1987.

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M. Potmesil. Generating octree models of 3d objects from their silhouettes in a sequence of images. CVGIP, 40:1--29, 1987.

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M. Potmesil. Generating octree models of 3D objects from their silhouettes in a sequence of images. CCGIP, 40:1--29, 1987.

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M. Potmesil. Generating octree models of 3D objects from their silhouettes in a sequence of images. Computer Vision, Graphics, and Image Processing, 40:1--29, 1987.

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M. Potmesil. Generating octree models of 3D objects from their silhouettes in a sequence of images. CVGIP, 40:1--29, 1987.

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POTMESIL M.: Generating octree models of 3D objects from their silhouettes in a sequence of images. Computer Vision, Graphics and Image Processing 40 (1987), 1--20. 2

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M. Potmesil. Generating octree models of 3D objects from their silhouettes in a sequence of images. CVGIP, 40:1-20, 1987.

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M. Potmesil. Generating octree models of 3D objects from their silhouettes in a sequence of images. Computer Vision, Graphics, and Image Processing, 40:1--29, 1987.

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M. Potmesil. Generating octree models of 3D objects from their silhouettes in a sequence of images. Computer Vision, Graphics and Image Processing, 40:1--29, 1987.

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M. Potmesil. Generating octree models of 3D objects from their silhouettes in a sequence of images. CVGIP, 40:1--20, 1987.

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M. Potmesil, Generating octree models of 3D objects from their silhouettes in a sequence of images, Computer Vision, Graphics and Image Processing 40 (1) (1987) 1--29.

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M. Potmesil. Generating octree models of 3D objects from their silhouettes in a sequence of images. Computer Vision, Graphics and Image Processing, 40:1--20, 1987.

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M. Potmesil. Generating octree models of 3d objects from their silhouettes in a sequence of images. Computer Vision, Graphics and Image Processing, 40:1--20, 1987.

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M. Potmesil. Generating Octree Models of 3D Objects from their Silhouettes in a Sequence of Images, Computer Vision, Graphics, and Image Processing, 40: 1-29, 1987

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