Overcoming Superstrictness in Line Drawing Interpretation

Recovering the Shape of Polyhedra Using Line-drawing Analysis and Complex Reeectance Models

Following Sugihara 23], we represent the geometric constraints imposed by the line-drawing of a polyhedron as a set of linear equalities and inequalities. Unlike him, we explicitly take into account the uncertainty in vertex position. This allows us to circumvent the superstrictness of the constraints without deleting any of them. For a given error bound, deciding whether a line-drawing is the ...

Overcoming of Metaphysics: Heidegger's Interpretation of Kant's Thought and the Problem of Metaphysics

Machine interpretation of line drawing images - technical drawings, maps and diagrams

Reading a book is also kind of better solution when you have no enough money or time to get your own adventure. This is one of the reasons we show the machine interpretation of line drawing images technical drawings maps and diagrams as your friend in spending the time. For more representative collections, this book not only offers it's strategically book resource. It can be a good friend, real...

Knowledge Based Interpretation of Line Drawing Images

This paper considers the application of knowledge based techniques to the automatic interpretation of line drawing images and describes progress in the development of a practical system which, although not fully automatic, provides a framework for approaching that goal through a diminishing level of operator intervention. This is achieved using a knowledge bascd system which cooperates with a c...

Interpretation of line drawings of complex objects

The machine interpretation of line drawings (pioneered by Guzman’) has a privileged position in the computer vision literature. It has proved to be the inspiration and testing ground of important techniques of much wider application, such as discrete relaxation’. Ironically, the simplified and idealized nature of the line drawing interpretation problems studied, which make them so attractive as...