Automatic Modelling of 3D Natural Objects from Multiple Views

Niem, W.; Buschmann, Ralf

doi:10.1007/978-1-4471-3035-2_15

Cited by 30 publications

(16 citation statements)

References 8 publications

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“…A major problem of traditional feature-based matching methods [16,23] is that it is difficult to extract all corner points of every object robustly. If the among of feature / corner points are insufficient, we cannot reconstruct the object surface correctly.…”

Section: Non-uniform Region Extractionmentioning

confidence: 99%

Modeling and rendering of walkthrough environments with panoramic images

Siu

Wan

Lau

2004

Proceedings of the ACM Symposium on Virtual Reality Software and Technology

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An important, potential application of image-based techniques is to create photo-realistic image-based environments for interactive walkthrough. However, existing image-based studies are based on different assumptions with different focuses. There is a lack of a general framework or architecture for evaluation and development of a practical image-based system. In this paper, we propose an architecture to unify different image-based methods. Based on the architecture, we propose an image-based system to support interactive walkthrough of scalable environments. In particular, we introduce the concept of angular range, which is useful for designing a scalable configuration, recovering geometric proxy as well as rendering. We also propose a new method to recover geometry information even from outdoor scenes and a new rendering method to address the problem of abrupt visual changes in a scalable environment.

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Section: Non-uniform Region Extractionmentioning

confidence: 99%

Modeling and rendering of walkthrough environments with panoramic images

Siu

Wan

Lau

2004

Proceedings of the ACM Symposium on Virtual Reality Software and Technology

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“…Some algorithms have been developed for modeling complex shaped objects using multiple views from image sequences [5], [6], [7]. Those works are mainly devoted to generate textured 3D models from real objects for applications such as virtual reality, computer animation and TV broadcasting.…”

Section: Introductionmentioning

confidence: 99%

Volume Estimation of Small Particles Using Three-Dimensional Reconstruction from Multiple Views

Castillo-Castañeda

Turchiuli

2008

Lecture Notes in Computer Science

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Abstract. This work presents a methodology and experimental results about the three dimensional reconstruction of small objects from an image sequence. The three dimensional model obtained from this methodology allows the volume estimation of particles less than 1 mm. More precisely, the particles studied were generated by an agglomeration process from milk powder. To validate this methodology, a mechanical device with six degrees of freedom was built; it allows the montage of the image acquisition system as well as the turning system that rotates the particles. The algorithm for image processing and volume estimation was implemented using a high level language.

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“…Existing approaches to shape estimation from silhouettes can be divided into two camps: the volume approach, pioneered by Baumgart in 1974 [l], approximates the observed object by intersecting the visual cones associated with a few photographs. Variants of this method use polyhedra [l, 71 or octrees [24] to represent the cones and their intersection, and include a commercial system, Sphinx3D, for automatically acquiring polyhedral models from images [19]. The surface approach takes advantage of the fact that the visual cones graze the observed object to reconstruct the surface as the envelope of its tangent planes from a continuous sequence of silhouettes using a rig similar to ours.…”

Section: Background and Approachmentioning

confidence: 99%