A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2005; you can also visit the original URL.
The file type is application/pdf.
Filters
Special issue on 3-D image analysis and modeling
2003
IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics)
Preserved Fulltext
Its goal is to obtain the geometrical structure of an observed scene, i.e., to recover reliable 3-D information from data, and to compute an efficient representation. ...
Zhang and C. Kambhamettu proposed two systems, integrated model-based system and extended gradientbased system, to compute dense 3-D scene flow and structure from multiview image sequences. ...
His present research is focused on image analysis, 3-D computer vision, and image-based rendering. He is a member of the International Association for Pattern Recognition (IAPR). ...
doi:10.1109/tsmcb.2003.814779
pmid:18238204
fatcat:h52zhkfvyvfejiv5jspemnd7ki
Real-time Object Recognition in Sparse Range Images Using Error Surface Embedding
2009
International Journal of Computer Vision
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2011; you can also visit the original URL.
The file type is application/pdf.
In this work we address the problem of object recognition and localization from sparse range data. ...
The method is based upon comparing the 7-D error surfaces of objects in various poses, which result from the registration error function between two convolved surfaces. ...
Object Recognition with Range Images To recognize an object implies that the object model (i.e., 3-D model of the object, or a set of views of the object) are known a priori. ...
doi:10.1007/s11263-009-0276-3
fatcat:npcqoaxswbefxb5btmigxtqdg4
Hierarchical Scale-Based Multiobject Recognition of 3-D Anatomical Structures
2012
IEEE Transactions on Medical Imaging
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
For 1), we propose intensity weighted ball-scale object extraction concept to build a hierarchical transfer function from image space to object (shape) space such that anatomical structures in 3-D medical ...
Segmentation of anatomical structures from medical images is a challenging problem, which depends on the accurate recognition (localization) of anatomical structures prior to delineation. ...
Hirsch of the Department of Neurobiology and Anatomy, Drexel University, for providing the data and helping in constructing groundtruth. ...
doi:10.1109/tmi.2011.2180920
pmid:22203704
fatcat:bej64kdj6bfqhnyzvdtjzp4yqi
Author Index
2010
2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
and Parsing Architecture at City Scale from Range Data Triggs, Bill Face Recognition Based on Image Sets Trinh, Hoang Workshop: Structure and Motion from Road-Driving Stereo Sequences Trinh, Nhon H. ...
Detecting and Parsing Architecture at City Scale from Range Data
Adaptive Pose Priors for Pictorial Structures
Talking Pictures: Temporal Grouping and Dialog-Supervised Person Recognition
Workshop ...
doi:10.1109/cvpr.2010.5539913
fatcat:y6m5knstrzfyfin6jzusc42p54
Active recognition through next view planning: a survey
2004
Pattern Recognition
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
3-D object recognition involves using image-computable features to identify 3-D object. A single view of a 3-D object may not contain sufficient features to recognize it unambiguously. ...
We first survey important approaches to active 3-D object recognition. ...
(Subhashis Banerjee). or 2-D intensity images. 3-D range images can be obtained from the output of a light stripe range finder, for example. 2-D images may be obtained from various means such as CCD cameras ...
doi:10.1016/j.patcog.2003.01.002
fatcat:mkc2hocskrd65lv7swudcslo7i
Three-Dimensional Deformable-Model-Based Localization and Recognition of Road Vehicles
2012
IEEE Transactions on Image Processing
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
We address the problem of model-based object recognition. Our aim is to localize and recognize road vehicles from monocular images or videos in calibrated traffic scenes. ...
It is shown that the local gradient-based method can evaluate accurately and efficiently the fitness between the projection of the vehicle model and the image data. ...
In Section IV, an efficient method based on local gradient image features is proposed to evaluate fitness between the projection of the 3-D model and image data. ...
doi:10.1109/tip.2011.2160954
pmid:21724513
fatcat:w56cjq5cujf2nok2xnb67xnrxy
Size Matters: Metric Visual Search Constraints from Monocular Metadata
2010
Neural Information Processing Systems
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2016; you can also visit the original URL.
The file type is application/pdf.
In this paper, we show how a crucial aspect of 3-D information-object and feature absolute size-can be added to models learned from commonly available online imagery, without use of any 3-D sensing or ...
Metric constraints are known to be highly discriminative for many objects, but if training is limited to data captured from a particular 3-D sensor the quantity of training data may be severly limited. ...
This work was supported in part by TOYOTA and a Feodor Lynen Fellowship granted by the Alexander von Humboldt Foundation. ...
dblp:conf/nips/FritzSD10
fatcat:xcat6dxwpnhn3nqd35fpihjday
Statistical Classifiers in Computer Vision
[chapter]
1998
Studies in Classification, Data Analysis, and Knowledge Organization
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2007; you can also visit the original URL.
The file type is application/pdf.
This paper introduces a unified Bayesian approach to 3-D computer vision using segmented image features. ...
The importance of model densities is demonstrated by concrete examples. Normally distributed features are used for automatic learning, localization, and classification. ...
and disturbed training data -, classification rules, and localization methods for 3-D objects using 2-D views. ...
doi:10.1007/978-3-642-72087-1_33
fatcat:kteobfdnprdbxkys4twepyc7lu
Dynamic Multi-Cue Information Fusion for Robust Detection of Traffic Infrastructure
2002
IAPR International Workshop on Machine Vision Applications
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
Visual object detection using single cue information has been successfully applied in various tasks, in particular for near range recognition. ...
We demonstrate preliminary work describing Bayesian decision fusion for object detection and illustrate the method by robust detection of traffic infrastructure. ...
This work was funded from the K plus Program. ...
dblp:conf/mva/PalettaP02
fatcat:b4nrhels7zevdkbqlqy3vhupiq
Using spin images for efficient object recognition in cluttered 3D scenes
1999
IEEE Transactions on Pattern Analysis and Machine Intelligence
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
We present a compression scheme for spin images that results in efficient multiple object recognition which we verify with results showing the simultaneous recognition of multiple objects from a library ...
We present a 3D shape-based object recognition system for simultaneous recognition of multiple objects in scenes containing clutter and occlusion. ...
We would also like to thank Karun Shimoga for the use of the K 2 T sensor and Kaushik Merchant for his time spent segmenting 3D scenes. ...
doi:10.1109/34.765655
fatcat:i5kuma24mvarrda3clsz2m2dmq
3-D Object Recognition Using 2-D Views
2008
IEEE Transactions on Image Processing
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
We consider the problem of recognizing 3-D objects from 2-D images using geometric models and assuming different viewing angles and positions. ...
Our goal is to recognize and localize instances of specific objects (i.e., model-based) in a scene. ...
During recognition, image features are used to retrieve information from the data structure. ...
doi:10.1109/tip.2008.2003404
pmid:18854254
fatcat:4zeg76o2szfcbgikicqtjmovpe
Learning indexing functions for 3-D model-based object recognition
1994
Proceedings of IEEE Conference on Computer Vision and Pattern Recognition CVPR-94
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
A full 3-D recognition system has been implemented, and we present an example to demonstrate how the method works with real, cluttered images. 5O ...
This approach has the potential to work with a wide range of image features and model types. ...
Introduction Model-based object recognition consists of matching features between an image and a pre-stored object model. ...
doi:10.1109/cvpr.1994.323840
dblp:conf/cvpr/BeisL94
fatcat:5rjg4ts7ybh57pnci6h3s6ffom
Modelling and representation issues in automated feature extraction from aerial and satellite images
2000
ISPRS journal of photogrammetry and remote sensing (Print)
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
The paper will review some of the approaches used in knowledge representation and modelling for machine vision, and give examples of their applications in research for image understanding of aerial and ...
Demands for mapping and GIS data are increasing as well for environmental assessment and monitoring. ...
Acknowledgements This research was partially supported by a grant from the Australian Research Council. ...
doi:10.1016/s0924-2716(99)00040-4
fatcat:vbph62stangodnshczrdzyc5uy
Thrift: Local 3D Structure Recognition
2007
9th Biennial Conference of the Australian Pattern Recognition Society on Digital Image Computing Techniques and Applications (DICTA 2007)
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2011; you can also visit the original URL.
The file type is application/pdf.
This paper presents a method for describing and recognising local structure in 3D images. The method extends proven techniques for 2D object recognition in images. ...
The method is applied to the problem of detecting repeated structure in range images, and promising results are reported. ...
Introduction Image based object recognition is a long standing central problem in computer vision. ...
doi:10.1109/dicta.2007.4426794
dblp:conf/dicta/FlintDH07
fatcat:22daavjwofaonmhtg2kld4nivu
Novel 3-D Object Recognition Methodology Employing a Curvature-Based Histogram
2013
International Journal of Advanced Robotic Systems
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
Recognition of three-dimensional (3-D) objects using range images remains one of the most challenging problems in 3-D computer vision due to its noisy and cluttered scene characteristics. ...
objects in the scenes and then applying a process of object recognition based on geometric constraints and a curvature-based histogram for object recognition. ...
The developed algorithm for object recognition includes two processes: • Establish the object models in a database (offline process): Dimension and curvature-based histograms of 3-D object models are constructed ...
doi:10.5772/56323
fatcat:tvtnvz53ibe7pal2hfhil4waly
« Previous
Showing results 1 — 15 out of 161,345 results