Add to ORKGThis paper presents a shape representation at the symbolic level that extends the properties of shape in 2D and 3D using the same formalism. This representation is based on the concept of infinite maximal lines and planes. Constraints on their properties are used to define shapes and objects. A process model of shape emergence which relies on this representation is developed. Data-driven and hypothesis-driven approaches to shape and object emergence are demonstrated.
The paper proposes a general framework for shape detection based on supervised symbolic learning. Di...
A procedural description of a three-dimensional shape has undeniable advantages over conventional de...
Standard topological devices can be adapted for shapes, and then used to establish the continuity of...
This paper presents a shape representation at the symbolic level that extends the properties of shap...
This paper presents a model for discovering emergent shapes based on the concept of shape hiding and...
This paper presents a model for discovering emergent shapes based on the concept of shape hiding and...
This paper is concerned with the computational modelling of emergent shapes in design. The categoris...
Abstract. This paper presents a representation of shapes and shape semantics and processes for the e...
Shape is a ubiquitous property of our world. Inferences about it require ‘shape models’: probability...
This thesis investigates a new representation scheme for geometric modelling, based on an algebraic ...
Shapes represent a very important way with which we perceive and reason about the world. In this art...
This paper discusses the boundary contour system as the basis of a computational model of emergent r...
The concept of emergence has its roots in 19th-century philosophy. Today it is central to many compu...
The shapes of naturally occurring objects characteristically involve spatial events occurring at m...
Emergence is the process of making properties which were not explicitly represented in a computation...
The paper proposes a general framework for shape detection based on supervised symbolic learning. Di...
A procedural description of a three-dimensional shape has undeniable advantages over conventional de...
Standard topological devices can be adapted for shapes, and then used to establish the continuity of...
This paper presents a shape representation at the symbolic level that extends the properties of shap...
This paper presents a model for discovering emergent shapes based on the concept of shape hiding and...
This paper presents a model for discovering emergent shapes based on the concept of shape hiding and...
This paper is concerned with the computational modelling of emergent shapes in design. The categoris...
Abstract. This paper presents a representation of shapes and shape semantics and processes for the e...
Shape is a ubiquitous property of our world. Inferences about it require ‘shape models’: probability...
This thesis investigates a new representation scheme for geometric modelling, based on an algebraic ...
Shapes represent a very important way with which we perceive and reason about the world. In this art...
This paper discusses the boundary contour system as the basis of a computational model of emergent r...
The concept of emergence has its roots in 19th-century philosophy. Today it is central to many compu...
The shapes of naturally occurring objects characteristically involve spatial events occurring at m...
Emergence is the process of making properties which were not explicitly represented in a computation...
The paper proposes a general framework for shape detection based on supervised symbolic learning. Di...
A procedural description of a three-dimensional shape has undeniable advantages over conventional de...
Standard topological devices can be adapted for shapes, and then used to establish the continuity of...