Model-based image matching using location
Model-based image matching using location
Robot vision
Object recognition by computer: the role of geometric constraints
Object recognition by computer: the role of geometric constraints
Advances in neural information processing systems 2
A common framework for image segmentation
International Journal of Computer Vision
On the Verification of Hypothesized Matches in Model-Based Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
Quasi-random sequences and their discrepancies
SIAM Journal on Scientific Computing
Model-based object pose in 25 lines of code
International Journal of Computer Vision - Special issue: image understanding research at the University of Maryland
Visual learning and recognition of 3-D objects from appearance
International Journal of Computer Vision
Optimal geometric model matching under full 3D perspective
Computer Vision and Image Understanding
A Graduated Assignment Algorithm for Graph Matching
IEEE Transactions on Pattern Analysis and Machine Intelligence
Efficient Pose Clustering Using a Randomized Algorithm
International Journal of Computer Vision
Robust Affine Structure Matching for 3D Object Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
Solution of the simultaneous pose and correspondence problem using Gaussian error model
Computer Vision and Image Understanding
Indexing without Invariants in 3D Object Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
Fast and Globally Convergent Pose Estimation from Video Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
Efficient Linear Solution of Exterior Orientation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Multiple view geometry in computer vision
Multiple view geometry in computer vision
View Variation of Point-Set and Line-Segment Features
IEEE Transactions on Pattern Analysis and Machine Intelligence
Polynomial-Time Object Recognition in the Presence of Clutter, Occlusion, and Uncertainty
ECCV '92 Proceedings of the Second European Conference on Computer Vision
ForeSight: fast object recognition using geometric hashing with edge-triple features
ICIP '97 Proceedings of the 1997 International Conference on Image Processing (ICIP '97) 3-Volume Set-Volume 1 - Volume 1
Registration of Cad-Models to Images by Iterative Inverse Perspective Matching
ICPR '96 Proceedings of the 1996 International Conference on Pattern Recognition (ICPR '96) Volume I - Volume 7270
Fully Automated and Stable Registration for Augmented Reality Applications
ISMAR '03 Proceedings of the 2nd IEEE/ACM International Symposium on Mixed and Augmented Reality
A unified framework for alignment and correspondence
Computer Vision and Image Understanding
Implicit Meshes for Effective Silhouette Handling
International Journal of Computer Vision
An algorithm for projective point matching in the presence of spurious points
Pattern Recognition
EM enhancement of 3D head pose estimated by point at infinity
Image and Vision Computing
Evolutionary model-based pose estimation for variable configuration objects
ISPRA'06 Proceedings of the 5th WSEAS International Conference on Signal Processing, Robotics and Automation
Using a genetic algorithm to register an uncalibrated image pair to a 3D surface model
Engineering Applications of Artificial Intelligence
Human head pose estimation using multi-appearance features
KI'10 Proceedings of the 33rd annual German conference on Advances in artificial intelligence
Dependable 3D object recognition with two-layered particle filter
Proceedings of the 5th International Conference on Ubiquitous Information Management and Communication
Feature matching and pose estimation using newton iteration
ICIAP'05 Proceedings of the 13th international conference on Image Analysis and Processing
High accuracy optical flow serves 3-d pose tracking: exploiting contour and flow based constraints
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part II
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The problem of pose estimation arises in many areas of computer vision, including object recognition, object tracking, site inspection and updating, and autonomous navigation using scene models. We present a new algorithm, called SoftPOSIT, for determining the pose of a 3D object from a single 2D image in the case that correspondences between model points and image points are unknown. The algorithm combines Gold's iterative SoftAssign algorithm [19, 20] for computing correspondences and DeMenthon's iterative POSIT algorithm [13] for computing object pose under a full-perspective camera model. Our algorithm, unlike most previous algorithms for this problem, does not have to hypothesize small sets of matches and then verify the remaining image points. Instead, all possible matches are treated identically throughout the search for an optimal pose. The performance of the algorithm is extensively evaluated in Monte Carlo simulations on synthetic data under a variety of levels of clutter, occlusion, and image noise. These tests show that the algorithm performs well in a variety of difficult scenarios, and empirical evidence suggests that the algorithm has a run-time complexity that is better than previous methods by a factor equal to the number of image points. The algorithm is being applied to the practical problem of autonomous vehicle navigation in a city through registration of a 3D architectural models of buildings to images obtained from an on-board camera.