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标题: Conjoining Gestalt Rules for Abstraction of Architectural Drawings [打印本页]

作者: 晃晃 时间: 2011-12-30 18:33
标题: Conjoining Gestalt Rules for Abstraction of Architectural Drawings
Conjoining Gestalt Rules for Abstraction of Architectural Drawings

Liangliang Nan1 Andrei Sharf2 Ke Xie1 Tien-Tsin Wong3 Oliver Deussen4 Daniel Cohen-Or

5 Baoquan Chen1

1 SIAT 2 Ben Gurion Univ.3 CUHK 4 Konstanz Univ.5 Tel Aviv Univ.

Abstract

We present a method for s***ctural summarization and abstraction

of complex spatial arrangements found in architectural drawings.

The method is based on the well-known Gestalt***les, which sum-

marize how forms, patterns, and semantics are perceived by humans

from bits and pieces of geometric information. Although deﬁning

a computational model for each***le alone has been extensively s-

tudied, modeling a conjoint of Gestalt***les remains a challenge.

In this work, we develop a computational framework which mod-

els Gestalt***les and more importantly, their complex interaction-

s. We apply conjoining***les to line drawings, to detect groups of

objects and repetitions that conform to Gestalt principles. We sum-

marize and abstract such groups in ways that maintain s***ctural

semantics by displaying only a reduced number of repeated ele-

ments, or by replacing them with simpler shapes. We show an ap-

plication of our method to line drawings of architectural models of

various styles, and the potential of extending the technique to other

computer-generated illustrations, and three-dimensional models.

CR Categories: I.3.5 [Computer Graphics]: Geometric Modeling

and Level of Detail—Geometric algorithms;

Keywords: simpliﬁcation, abstraction, Gestalt

1 Introduction

Artistic imagery, architectural renderings, cartography and games

often exploit abstraction to clarify, exaggerate, simplify or empha-

size the visual content. Abstraction is a strategy for communicating

information effectively. It allows artists to highlight speciﬁc visu-

al information and thereby direct the viewer to important aspects

of the s***cture and organization of the scene. In this paper, we

present an approach to the abstraction of 2D shapes, in particular

those of architectural models. Our approach to abstracting shape

directly aims to clarify shape and preserve meaningful s***ctures

using Gestalt principles.

The well-known Gestalt principles by Wertheimer [1923], reﬂect

strategies of the human visual system to group objects into forms

and create internal representations for them. Whenever groups of

visual element have one or several characteristics in common, they

get grouped and form a new larger visual object - a gestalt. Psychol-

ogists have tried to simulate and model these principles, by ﬁnding

computational means to predict what human perceive as gestalts in

images.

The notion of Gestalt is very well-known and widely used in var-

ious ﬁelds. In particular, it explains the tendency of the human

visual recognition to form whole shapes and forms just from bits

and pieces of geometric information. Naturally, Gestalt principles

have been used in computer vision, primarily in context with object

recognition and scene understanding. In computer graphics, Gestalt

principles have been applied to a variety of applications, like scene

completion [Drori et al. 2003], image and scene abstraction [Wang

et al. 2004; Mehra et al. 2009], stroke synthesis [Barla et al. 2006;

Ijiri et al. 2008] and emerging images generation [Mitra et al. 2009].

In general, these works rely on discrete Gestalt principles, but none

addresses the complex interactions emerging from the multitude of

Gestalt principles operating simultaneously.

A difﬁcult problem while dealing with gestalts is the conjoined ef-

fect of two or more Gestalt principles operating at the same time

on the same site. Modeling gestalts in such cases is especially

challenging due to the complexity and ambiguity of the scene. Re-

cently, attempts to discover how grouping principles interact were

made in psychology and computer vision [Desolneux et al. 2002;

Feldman 2003; Cao et al. 2007; Kubovy and van den Berg 2008].

These works model limited gestalt interactions, by ﬁnding com-

putational means which are physiologically plausible. Kubovy and

van den Berg [2008] explore the quantiﬁcation of perceptual group-

ings formed conjointly by two grouping principles: similarity and

proximity. Nevertheless, providing general computational means

for modeling the interaction of multiple Gestalt principles remains

a difﬁcult challenge.

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作者: tc 时间: 2012-2-23 23:32
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作者: 晃晃 时间: 2012-3-6 23:21
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