A survey of the Hough transform
Computer Vision, Graphics, and Image Processing
Elliptic fit of objects in two and three dimensions by moment of inertia optimization
Pattern Recognition Letters
Invariant Descriptors for 3D Object Recognition and Pose
IEEE Transactions on Pattern Analysis and Machine Intelligence - Special issue on interpretation of 3-D scenes—part I
Pose Estimation by Fusing Noisy Data of Different Dimensions
IEEE Transactions on Pattern Analysis and Machine Intelligence
Model-based object pose in 25 lines of code
International Journal of Computer Vision - Special issue: image understanding research at the University of Maryland
Estimation of ellipse parameters using optimal minimum variance estimator
Pattern Recognition Letters
Direct Least Square Fitting of Ellipses
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Method to Detect and Characterize Ellipses Using the Hough Transform
IEEE Transactions on Pattern Analysis and Machine Intelligence
Augmented reality for construction tasks: doorlock assembly
IWAR '98 Proceedings of the international workshop on Augmented reality : placing artificial objects in real scenes: placing artificial objects in real scenes
AR-planning tool: designing flexible manufacturing systems with augmented reality
EGVE '02 Proceedings of the workshop on Virtual environments 2002
TRIP: A Low-Cost Vision-Based Location System for Ubiquitous Computing
Personal and Ubiquitous Computing
Uniqueness of 3D Pose Under Weak Perspective: A Geometrical Proof
IEEE Transactions on Pattern Analysis and Machine Intelligence
Invariant Fitting of Planar Objects by Primitives
IEEE Transactions on Pattern Analysis and Machine Intelligence
Comparative effectiveness of augmented reality in object assembly
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Augmented reality for manufacturing planning
EGVE '03 Proceedings of the workshop on Virtual environments 2003
Registration of technical drawings and calibrated images for industrial augmented reality
Machine Vision and Applications - Special issue: IEEE WACV
Spacedesign: A Mixed Reality Workspace for Aesthetic Industrial Design
ISMAR '02 Proceedings of the 1st International Symposium on Mixed and Augmented Reality
A Pragmatic Approach to Augmented Reality Authoring
ISMAR '02 Proceedings of the 1st International Symposium on Mixed and Augmented Reality
Analyzing perspective line drawings using hypothesis based reasoning (computer vision, artificial intelligence)
Augmented Reality Projects in the Automotive and Aerospace Industries
IEEE Computer Graphics and Applications
Tangible augmented prototyping of digital handheld products
Computers in Industry
Proceedings of the 10th International Conference on Virtual Reality Continuum and Its Applications in Industry
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To survive the cut-throat competition in the manufacturing industry, many companies have introduced digital manufacturing technology. Digital manufacturing technology not only shortens the product development cycle times but also improves the precision of engineering simulation. However, building the virtual objects needed for a digital manufacturing environment requires skilled human resources; it is also costly and time-consuming. A high precision environment with the similar resources is also needed for a high precision simulation. In this paper, we propose a method of constructing a mixed reality-based digital manufacturing environment. The method integrates real objects, such as real images, with the virtual objects of a virtual manufacturing system. This type of integration minimizes the cost of implementing virtual objects and enhances the user's sense of reality. We studied several methods and derived a general framework for the system. Finally, we developed our idea into a virtual factory layout planning system. To assign the pose and position of real objects in virtual space, we applied a circle-based tracking method which uses a safety sign instead of the planar-square-shaped marker generally used for registration. Furthermore, we developed the framework to encapsulate simulation data from legacy data and process data for visualization based on mixed reality.