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2D and 3D Vegetation Resource Parameters Assessment using Marked Point Processes
High resolution aerial and satellite images of forests have a key role to play in natural resource management. As they enable to study forests at the scale of trees, it is now possible to get a more accurate evaluation of the forest resources, from ...
Multiresolution Mesh Reconstruction from Noisy 3D Point Sets
We augment the tensor voting framework with a datadriven multiscale scheme for reconstructing a multiresolution mesh from a noisy 3D point set. The augmentations are effective, automatic but very simple, consisting of surface saliency inference, scale ...
A Novel Volumetric Shape from Silhouette Algorithm Based on a Centripetal Pentahedron Model
In this paper we present a novel volumetric shape from silhouette algorithm based on a centripetal pentahedron model. The algorithm first partitions the space with a set of infinite triangular pyramids derived from a geodesic sphere. Then the pyramids ...
3D Reconstruction from Uncalibrated Cameras and Uncalibrated Projectors from Shadows
Recently, projector camera systems have been studied extensively for designing man machine interaction systems. In this paper, we propose a new method for calibrating uncalibrated projector camera systems. In particular, we show that it is possible to ...
Partitioning of 3D Meshes using Reeb Gra
In this paper, a model is proposed for partitioning of 3D objects based on Reeb-graphs. The model is motivated by perceptual principles and supports identification of the main protrusions of an object. Experimental results are presented to demonstrate ...
Cluster Analysis and Priority Sorting in Huge Point Clouds for Building Reconstruction
Terrestrial laser scanners produce point clouds with a huge number of points within a very limited surrounding. In built-up areas, many of the man-made objects are dominated by planar surfaces. We introduce a RANSAC based preprocessing technique that ...
Surface Reconstruction from Stereovision Data Using a 3-D MRF of Discrete Object Models
In the present paper, we propose a method for reconstructing the surfaces of objects from stereovision data. Both the fitness of stereo data to surfaces and interrelation between the surfaces are defined in the framework of a three-dimensional (3-D) ...
Noise Variance Adaptive SEA for Motion Estimation: A Two-Stage Schema
In a practical video encoder, a video sequence obtained from a CCD camera inevitably conveys noise, which degrades not only image quality but also coding efficiency. Based on the statistic analysis of noise signal,a noise variance adaptive two-stage ...
A Three-Frame Approach to Constraint-Consistent Motion Estimation
We study the motion estimation across three images by simultaneously enforcing the geometric constraint of trilinearity and the constant-brightness constraint. An iterative and hierarchical three-frame scheme is proposed to solve the geometry-consistent ...
Robust Factorisation with Uncertainty Ana
This paper proposes how the classic factorisation algorithm for affine reconstruction can be extended to be robust to outliers and proposes how the uncertainty analysis can be performed in this case. The robust estimation approach elaborated here is ...
Geodesic Curves for Analysis of Continuous Implicit Shapes
A method is proposed for performing shape analysis of m-surfaces, e.g. planar curves and surfaces, with a geometric interpretation. The analysis uses an implicit surface representation and connects the popular level set approach with shape analysis. The ...
Symmetric Pixel-Group Based Stereo Matching for Occlusion Handling
In this paper, we propose a symmetric pixel-group stereo model for handling occlusion in a segment-based style. Firstly, both images are segmented based on color, disparity, and the segments of the other image sequencely. Then the uniqueness constraint ...
Automatic Estimation of 3D Transformations using Skeletons for Object Alignment
An algorithm for automatic estimation of 3D transformations between two objects is presented in this paper. Skeletons of the 3D objects are created using a fully parallel thinning technique, feature point pairs (land markers) are automatically extracted ...
Real-Time Multi-Frame Analysis of Dominant Translation
This paper describes an ultraTfast method ,for estimation of translational motion in video sequences. The method is based on the princkle that 2 0 image translation results in translation of imageprojections. To obtain superior robustness and accuracy ...
Combinatorial Surface Integration
Graph-Spectral surface integration techniques construct an integration path assuming that the surface contains a path along which the integration error is minimal. This paper presents a generalisation that uses Minimum Spanning Trees of the weighted ...
3D Segmentation by Maximally Stable Volumes (MSVs)
This paper introduces an efficient 3D segmentation concept, which is based on extending the well-known Maximally Stable Extremal Region (MSER) detector to the third dimension. The extension allows the detection of stable 3D regions, which we call the ...
Effective and Generic Structure from Motion using Angular Error
Generic camera modeling using raxels and associated methods was recently introduced in Computer Vision. The main advantage is the applicability for any camera model, which contrasts to the many specific methods designed for a single camera model. This ...
3D Object Digitization: Majority Interpolation and Marching Cube
In a previous paper we showed that a 3D object can be digitized without changing the topology if the object is r-regular and if the reconstruction method fulfills certain requirements. In this paper we give two important examples for such reconstruction ...
Detection of 3D-Flow by Characteristic of Convex-concave and Color
This paper describes a method for detecting 3DFlow of an arbitrary point on a free-form surface from time series range images obtained by a stereovision system. The approach that positively uses surface shape data obtained from the range images is ...
Moving Obstacles Extraction with Stereo Global Motion Model
Extraction of moving obstacles from a moving observer is vital for many ITS applications like Forward Vehicle Collision Mitigation (FVCM) and Adaptive Cruise Control (ACC) systems. Single camera based Global Motion Model (GMM) like optical flow is ...
A New Structural Constraint and its Application in Wide Baseline Matching
We introduce a new structural constraint that can be used for matching points in image pairs taken from a wide baseline. No assumption is made about the geometry of the 3D points or of surfaces in the scene, nor about the location or orientation of the ...
Index Terms
- Proceedings of the 18th International Conference on Pattern Recognition - Volume 01