Creating intelligent sketch-based educational software requires representing sketches the way a person would. Here, we evaluate several qualitative models of shape representation to determine which one best matches human judgments. The models differ in a) the way they segment an object’s contour into meaningful edges; and b) their level of detail for describing a shape. Our analysis indicates our improved edge-segmentation algorithm produces better results than an older algorithm, and a representation focusing on the edges in each shape best matches human judgments
The visual representation of shape reduces a high-dimensional input into a smaller set of more infor...
International audienceHand drawings are the imprints of shapes in human’s mind. How a human expresse...
This paper shows that classifying shapes is a tool useful in nonphotorealistic rendering (NPR) from ...
Representing and comparing two-dimensional shapes is an important problem. Our hypothesis about huma...
We survey the state-of-the-art of shape representations from both com-puter science and cognitive sc...
In this paper, we study the segmentation of sketched engineering drawings into a set of straight a...
We are interested in enabling a generic sketch recognition system that would allow more natural inte...
We summarize five studies of our large-scale research program, in which we examined aspects of conto...
We describe a 2D shape abstraction system that aims to clarify the structure without loss of the exp...
Abstract. In this paper we present an approach to the qualitative representation of shape and its us...
International audienceSketching is one of the most natural ways to exchange ideas. It has been used ...
In this paper we present an approach to the qualitative representation of shape and its use. We use ...
How abstract shape is perceived and represented poses crucial unsolved problems in human perception ...
Abstract—This paper shows that classifying shapes is a tool useful in Non-Photorealistic rendering f...
This paper provides evidence that about half of all the regions in segmented images can be classifie...
The visual representation of shape reduces a high-dimensional input into a smaller set of more infor...
International audienceHand drawings are the imprints of shapes in human’s mind. How a human expresse...
This paper shows that classifying shapes is a tool useful in nonphotorealistic rendering (NPR) from ...
Representing and comparing two-dimensional shapes is an important problem. Our hypothesis about huma...
We survey the state-of-the-art of shape representations from both com-puter science and cognitive sc...
In this paper, we study the segmentation of sketched engineering drawings into a set of straight a...
We are interested in enabling a generic sketch recognition system that would allow more natural inte...
We summarize five studies of our large-scale research program, in which we examined aspects of conto...
We describe a 2D shape abstraction system that aims to clarify the structure without loss of the exp...
Abstract. In this paper we present an approach to the qualitative representation of shape and its us...
International audienceSketching is one of the most natural ways to exchange ideas. It has been used ...
In this paper we present an approach to the qualitative representation of shape and its use. We use ...
How abstract shape is perceived and represented poses crucial unsolved problems in human perception ...
Abstract—This paper shows that classifying shapes is a tool useful in Non-Photorealistic rendering f...
This paper provides evidence that about half of all the regions in segmented images can be classifie...
The visual representation of shape reduces a high-dimensional input into a smaller set of more infor...
International audienceHand drawings are the imprints of shapes in human’s mind. How a human expresse...
This paper shows that classifying shapes is a tool useful in nonphotorealistic rendering (NPR) from ...