Viewpoint information

Xavier Bonaventura; Miquel Feixas; Mateu Sbert

Viewpoint information

Xavier Bonaventura
, Miquel Feixas
, Mateu Sbert

Producción científica: Contribución a una conferencia › Artículo › revisión exhaustiva

7 Citas (Scopus)

Resumen

In this paper, we present a new perspective to quantify the information associated with a viewpoint. The starting point is twofold: a visibility channel between a set of viewpoints and the polygons of an object, and two specific information measures introduced respectively by DeWeese and Meister (1999) and Butts (2003) to evaluate the significance of stimuli and responses in the neural code. In our approach, these information measures are applied to the visibility channel in order to quantify the information associated with each viewpoint and are compared with both viewpoint entropy and viewpoint mutual information. A number of experiments show the behavior of the proposed measures in best view selection.

Idioma original	Inglés
Páginas	16-19
Número de páginas	4
Estado	Publicada - 2011
Evento	21st International Conference on Computer Graphics and Vision, GraphiCon'2011 - Moscow, Federación de Rusia Duración: 26 sept 2011 → 30 sept 2011

Conferencia

Conferencia	21st International Conference on Computer Graphics and Vision, GraphiCon'2011
País/Territorio	Federación de Rusia
Ciudad	Moscow
Período	26/09/11 → 30/09/11

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title = "Viewpoint information",

abstract = "In this paper, we present a new perspective to quantify the information associated with a viewpoint. The starting point is twofold: a visibility channel between a set of viewpoints and the polygons of an object, and two specific information measures introduced respectively by DeWeese and Meister (1999) and Butts (2003) to evaluate the significance of stimuli and responses in the neural code. In our approach, these information measures are applied to the visibility channel in order to quantify the information associated with each viewpoint and are compared with both viewpoint entropy and viewpoint mutual information. A number of experiments show the behavior of the proposed measures in best view selection.",

keywords = "Mutual information, Specific information, Viewpoint selection",

author = "Xavier Bonaventura and Miquel Feixas and Mateu Sbert",

year = "2011",

language = "English",

pages = "16--19",

note = "21st International Conference on Computer Graphics and Vision, GraphiCon'2011 ; Conference date: 26-09-2011 Through 30-09-2011",

}

TY - CONF

T1 - Viewpoint information

AU - Bonaventura, Xavier

AU - Feixas, Miquel

AU - Sbert, Mateu

PY - 2011

Y1 - 2011

N2 - In this paper, we present a new perspective to quantify the information associated with a viewpoint. The starting point is twofold: a visibility channel between a set of viewpoints and the polygons of an object, and two specific information measures introduced respectively by DeWeese and Meister (1999) and Butts (2003) to evaluate the significance of stimuli and responses in the neural code. In our approach, these information measures are applied to the visibility channel in order to quantify the information associated with each viewpoint and are compared with both viewpoint entropy and viewpoint mutual information. A number of experiments show the behavior of the proposed measures in best view selection.

AB - In this paper, we present a new perspective to quantify the information associated with a viewpoint. The starting point is twofold: a visibility channel between a set of viewpoints and the polygons of an object, and two specific information measures introduced respectively by DeWeese and Meister (1999) and Butts (2003) to evaluate the significance of stimuli and responses in the neural code. In our approach, these information measures are applied to the visibility channel in order to quantify the information associated with each viewpoint and are compared with both viewpoint entropy and viewpoint mutual information. A number of experiments show the behavior of the proposed measures in best view selection.

KW - Mutual information

KW - Specific information

KW - Viewpoint selection

UR - https://www.scopus.com/pages/publications/84871196206

M3 - Paper

AN - SCOPUS:84871196206

SP - 16

EP - 19

T2 - 21st International Conference on Computer Graphics and Vision, GraphiCon'2011

Y2 - 26 September 2011 through 30 September 2011

ER -

Viewpoint information

Resumen

Conferencia

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