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AUTOMATIC FEATURE-BASED POINT CLOUD REGISTRATION FOR A MOVING SENSOR PLATFORM

by Martin Weinmann, Andre ́ Dittrich, Stefan Hinz, Boris Jutzi
"... The automatic and accurate alignment of multiple point clouds is a basic requirement for an adequate digitization, reconstruction and interpretation of large 3D environments. Due to the recent technological advancements, modern devices are available which allow for simultaneously capturing intensity ..."
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features and 2D/2D correspondences, sparse point clouds of physically almost identical 3D points are derived. Subsequently, these point clouds are aligned with a fast procedure directly taking into account the reliability of the detected correspondences with respect to geometric and radiometric information

Automatic Coarse Registration of 3D Surfaces

by In G. Greiner, J. Hornegger, H. Niemann, M. Stamminger , 2005
"... We describe a new method to register surface data measured by optical 3D sensors from various views of an object. Circumferential acquisition of 3D objects is done by taking several views from different directions. The views first have to be aligned to each other. This process is called registration ..."
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We describe a new method to register surface data measured by optical 3D sensors from various views of an object. Circumferential acquisition of 3D objects is done by taking several views from different directions. The views first have to be aligned to each other. This process is called

Registering Multiview Range Data to Create 3D Computer Objects

by Gérard Blais, Martin D. Levine - IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE , 1993
"... This research deals with the problem of range image registration for the purpose of building surface models of three-dimensional objects. The registration task involves finding the translation and rotation parameters which properly align overlapping views of the object so as to reconstruct from thes ..."
Abstract - Cited by 142 (5 self) - Add to MetaCart
these partial surfaces, an integrated surface representation of the object. The approach taken is to express the registration task as an optimization problem. We define a function which measures the quality of the alignment between the partial surfaces contained in two range images as produced by a set

Kinectfusion: real-time 3D reconstruction and interaction using a moving depth camera

by Shahram Izadi, David Kim, Otmar Hilliges, David Molyneaux, Richard Newcombe, Pushmeet Kohli, Jamie Shotton, Steve Hodges, Dustin Freeman, Andrew Davison, Andrew Fitzgibbon - In Proc. UIST , 2011
"... Figure 1: KinectFusion enables real-time detailed 3D reconstructions of indoor scenes using only the depth data from a standard Kinect camera. A) user points Kinect at coffee table scene. B) Phong shaded reconstructed 3D model (the wireframe frustum shows current tracked 3D pose of Kinect). C) 3D mo ..."
Abstract - Cited by 157 (20 self) - Add to MetaCart
standard Kinect camera to rapidly create detailed 3D reconstructions of an indoor scene. Only the depth data from Kinect is used to track the 3D pose of the sensor and reconstruct, geometrically precise, 3D models of the physical scene in real-time. The capabilities of KinectFusion, as well as the novel

Fast and Accurate Shape-Based Registration

by David A. Simon , 1996
"... In many areas of science, engineering, medicine, and especially in the field of robotics, there is a need to establish a spatial mapping between two or more 3-dimensional (3-D) shape representations of an object. The registration problem is concerned with finding a spatial transformation which best ..."
Abstract - Cited by 53 (2 self) - Add to MetaCart
aligns two object representations. Once this mapping is established, a variety of tasks can be performed using the aligned object representations including model-based localization, 3-D object recognition, real-time pose tracking and multi-modality sensor fusion.

Self-determination and persistence in a real-life setting: Toward a motivational model of high school dropout.

by Robert J Vallerand , Michelle S Fbrtier , Frederic Guay - Journal of Personality and Social Psychology, , 1997
"... The purpose of this study was to propose and test a motivational model of high school dropout. The model posits that teachers, parents, and the school administration's behaviors toward students influence students' perceptions of competence and autonomy. The less autonomy supportive the so ..."
Abstract - Cited by 183 (19 self) - Add to MetaCart
motivation) analysis of variance (ANOVA) with repeated measures on the motivation variable was performed on the data. 3 This approach involved taking the scores on the seven motivation subscales and incorporating them into the Type of Student X Gender design as a repeated measure (BMDP; Dixon, Results

Shape Context: A new descriptor for shape matching and object recognition

by Serge Belongie, Jitendra Malik, Jan Puzicha - In NIPS , 2000
"... We introduce a new shape descriptor, the shape context, for correspondence recovery and shape-based object recognition. The shape context at a point captures the distribution over relative positions of other shape points and thus summarizes global shape in a rich, local descriptor. Shape contexts gr ..."
Abstract - Cited by 165 (6 self) - Add to MetaCart
or key-points are necessary. It is thus a generic method with applications in object recognition, image registration and point set matching. Using examples involving both handwritten digits and 3D objects, we illustrate its power for object recognition.

Voxel similarity measures for 3-D serial MR brain image registration

by Mark Holden, Derek L. G. Hill, Erika R. E. Denton, Jo M. Jarosz, Tim C. S. Cox, Torsten Rohlfing, Joanne Goodey, David J. Hawkes - IEEE TRANSACTIONS ON MEDICAL IMAGING , 2000
"... We have evaluated eight different similarity measures used for rigid body registration of serial magnetic resonance (MR) brain scans. To assess their accuracy we used 33 clinical threedimensional (3-D) serial MR images, with deformable extradural tissue excluded by manual segmentation and simulated ..."
Abstract - Cited by 60 (4 self) - Add to MetaCart
and simulated 3-D MR images with added intensity distortion. For each measure we determined the consistency of registration transformations for both sets of segmented and unsegmented data. We have shown that of the eight measures tested, the ones based on joint entropy produced the best consistency

Data Gathering in Sensor Networks using the Energy*Delay Metric

by Stephanie Lindsey, Cauligi Raghavendra, Krishna Sivalingam , 2001
"... In this paper we consider the problem of data collection from a sensor web consisting of N nodes, where nodes have packets of data in each round of communication that need to be gathered and fused with other nodes' packets into one packet and transmitted to a distant base station. Nodes have po ..."
Abstract - Cited by 134 (0 self) - Add to MetaCart
, then parallel communications are possible only among spatially separated nodes, and a chain-based 3 level hierarchy scheme performs well. These schemes perform 60 to 100 times better than direct scheme and also outperform a cluster based scheme, called LEACH [3].

A Vision-based 2D-3D Registration System

by Quan Wang, Suya You - IEEE Winter Vision Meeting , 2009
"... In this paper, we propose an automatic system for robust alignment of 2D optical images with 3D LiDAR (Light Detection and Ranging) data. Focusing on applications such as data fusion and rapid updating for GIS (geographic information systems) from diverse sources when accurate georeference is not av ..."
Abstract - Cited by 3 (2 self) - Add to MetaCart
is not available, our goal is a vision-based approach to recover the 2D to 3D transformation including orientation, scale and location. Two major challenges of 2D-3D registration systems are different sensors problem and large 3D viewpoint changes. Due to the challenging nature of the problem, we achieve
Results 11 - 20 of 5,337