Towards a general multi-view registration technique

Bergevin, Robert; Soucy, Marc‐André; Gagnon, Hélène; Laurendeau, Denis

doi:10.1109/34.494643

Cited by 361 publications

(222 citation statements)

References 13 publications

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“…(4). It is the same for the multiview challenge which reconstructs a 3D object from several overlaping observations taken for different angles [23].…”

Section: Rigid 3d Registration or Orthogonal Procrustes Problemmentioning

confidence: 99%

Decomposition and dictionary learning for 3D trajectories

2014

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A new model for describing a three-dimensional (3D) trajectory is proposed in this article. The studied trajectory is viewed as a linear combination of rotatable 3D patterns. The resulting model is thus 3D rotation invariant (3DRI). Moreover, the temporal patterns are considered as shift-invariant. This article is divided into two parts based on this model. On the one hand, the 3DRI decomposition estimates the active patterns, their coefficients, their rotations and their shift parameters. Based on sparse approximation, this is carried out by two non-convex optimizations: 3DRI matching pursuit (3DRI-MP) and 3DRI orthogonal matching pursuit (3DRI-OMP). On the other hand, a 3DRI learning method learns the characteristic patterns of a database through a 3DRI dictionary learning algorithm (3DRI-DLA). The proposed algorithms are first applied to simulation data to evaluate their performances and to compare them to other algorithms. Then, they are applied to real motion data of cued speech, to learn the 3D trajectory patterns characteristic of this gestural language.

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“…(4). It is the same for the multiview challenge which reconstructs a 3D object from several overlaping observations taken for different angles [23].…”

Section: Rigid 3d Registration or Orthogonal Procrustes Problemmentioning

confidence: 99%

Decomposition and dictionary learning for 3D trajectories

2014

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“…In the contemporary mosaicking literature, [3] is similar to the present work in its use of topological information to guide the optimization process. In the range image processing literature, we cite [4] and [5] for pioneering the iterative closest point algorithm, and [6] for using it to simultaneously minimize the total residual error of a number of overlapping range scans.…”

Section: Prior Workmentioning

confidence: 99%

Efficient Construction of Globally Consistent Ladar Maps Using Pose Network Topology and Nonlinear Programming

Kelly

Unnikrishnan

2005

Springer Tracts in Advanced Robotics

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Abstract. Many instances of the mobile robot guidance mapping problem exhibit a topology that can be represented as a graph of nodes (observations) connected by edges (poses). We show that a cycle basis of this pose network can be used to generate the independent constraint equations in a natural constrained optimization formulation of the mapping problem. Explicit reasoning about the loop topology of the network can automatically generate such a cycle basis in linear time. Furthermore, in many practical cases, the pose network has sparse structure and the associated equations can then be solved time linear in the number of images. This approach can be used to construct globally consistent maps on very large scales in very limited computation. While the technique is applicable to mapbuilding in general, and even optimization in general, it is illustrated here for batch processing of 2D ladar scans into a mobile robot guidance map.

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“…First, the sensor can be augmented with a pose estimation system that records the scanner's position and orientation for each scan [36]. Second, the environment can be augmented with markers, known as fiducials, with known locations, which are then detected in the 3D data and used to aid in the registration [37]. Third, the scans can be manually registered, for example, by specifying two or three pairs of corresponding points in two scans [38].…”

Section: Registrationmentioning

confidence: 99%

A formalism for utilization of sensor systems and integrated project models for active construction quality control

Akinci

Boukamp

Gordon

et al. 2006

Automation in Construction

277

148

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Defects experienced during construction are costly and preventable. However, inspection programs employed today cannot adequately detect and manage defects that occur on construction sites, as they are based on measurements at specific locations and times, and are not integrated into complete electronic models. Emerging sensing technologies and project modeling capabilities motivate the development of a formalism that can be used for active quality control on construction sites. In this paper, we outline a process of acquiring and updating detailed design information, identifying inspection goals, inspection planning, as-built data acquisition and analysis, and defect detection and management. We discuss the validation of this formalism based on four case studies.

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Towards a general multi-view registration technique

Cited by 361 publications

References 13 publications

Decomposition and dictionary learning for 3D trajectories

Decomposition and dictionary learning for 3D trajectories

Efficient Construction of Globally Consistent Ladar Maps Using Pose Network Topology and Nonlinear Programming

A formalism for utilization of sensor systems and integrated project models for active construction quality control

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