Artificial intelligence (2nd ed.)
Artificial intelligence (2nd ed.)
A Robust Algorithm for Text String Separation from Mixed Text/Graphics Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
Object recognition by computer: the role of geometric constraints
Object recognition by computer: the role of geometric constraints
Recognition by Linear Combinations of Models
IEEE Transactions on Pattern Analysis and Machine Intelligence - Special issue on interpretation of 3-D scenes—part I
The Recovery and Understanding of a Line Drawing from Indoor Scenes
IEEE Transactions on Pattern Analysis and Machine Intelligence - Special issue on interpretation of 3-D scenes—part II
A System for Interpretation of Line Drawings
IEEE Transactions on Pattern Analysis and Machine Intelligence
Detection of Dimension Sets in Engineering Drawings
IEEE Transactions on Pattern Analysis and Machine Intelligence
Automatic understanding of symbol-connected diagrams
ICDAR '95 Proceedings of the Third International Conference on Document Analysis and Recognition (Volume 2) - Volume 2
A scheme for 3D object reconstruction from dimensioned orthographic views
ICDAR '95 Proceedings of the Third International Conference on Document Analysis and Recognition (Volume 1) - Volume 1
Recognition of dimension sets and integration with vectorized engineering drawings
ICDAR '95 Proceedings of the Third International Conference on Document Analysis and Recognition (Volume 1) - Volume 1
A step towards reconstruction of 3-D CAD models from engineering drawings
ICDAR '95 Proceedings of the Third International Conference on Document Analysis and Recognition (Volume 1) - Volume 1
Model-based analysis of printed tables
ICDAR '95 Proceedings of the Third International Conference on Document Analysis and Recognition (Volume 1) - Volume 1
Robust table-form structure analysis based on box-driven reasoning
ICDAR '95 Proceedings of the Third International Conference on Document Analysis and Recognition (Volume 1) - Volume 1
COMPUTER RECOGNITION OF THREE-DIMENSIONAL OBJECTS IN A VISUAL SCENE
COMPUTER RECOGNITION OF THREE-DIMENSIONAL OBJECTS IN A VISUAL SCENE
On the Uniqueness of Correspondence from Orthographic and Perspective Projection
On the Uniqueness of Correspondence from Orthographic and Perspective Projection
Generating Semantic Descriptions From Drawings of Scenes With Shadows
Generating Semantic Descriptions From Drawings of Scenes With Shadows
Perceptual Organization as a Foundation for Graphics Recognition
GREC '01 Selected Papers from the Fourth International Workshop on Graphics Recognition Algorithms and Applications
Graphics Recognition - from Re-engineering to Retrieval
ICDAR '03 Proceedings of the Seventh International Conference on Document Analysis and Recognition - Volume 1
International Journal of Computer Vision
Pattern Recognition Methods for Querying and Browsing Technical Documentation
CIARP '08 Proceedings of the 13th Iberoamerican congress on Pattern Recognition: Progress in Pattern Recognition, Image Analysis and Applications
Relational indexing of vectorial primitives for symbol spotting in line-drawing images
Pattern Recognition Letters
Hi-index | 0.14 |
Image indexing, namely, the problem of retrieving content information from images in response to queries, is a key problem underlying the operations in image databases. In this paper we present a method of indexing for 3D object queries in a database of a class of images called technical line drawings. Indexing is achieved as a combination of query-specific region selection and object recognition. The selection phase isolates relevant images and the regions in these images that are likely to contain the queried object. This is done using text information in the query and a grouping mechanism that is guaranteed to isolate single-object containing regions for the class of technical line drawing images. The grouping mechanism is an adaptation of Waltz relaxation to an extended junction set derived by analyzing the physically plausible ways in which interpretation lines interact with object contours. Model-based object recognition then confirms the presence of the part at the selected location using geometrical description of the queried 3D object. Results are shown that indicate that query-specific selection is very effective for reducing the search during indexing while lowering the chance of false positives and negatives.