Inspiremeposing: Learn pose and composition from portrait examples

Bin Sheng; Yuxi Jin; Ping Li; Wenxiao Wang; Hongbo Fu; Enhua Wu

doi:10.2312/pg.20181274

Inspiremeposing: Learn pose and composition from portrait examples

Bin Sheng
, Yuxi Jin
, Ping Li
, Wenxiao Wang
, Hongbo Fu
, Enhua Wu

School of Creative Media

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

2 Citations (Scopus)

Abstract

Since people tend to build relationship with others by personal photography, capturing high quality photographs on mobile device has become a strong demand. We propose a portrait photography guidance system to guide user’s photographing. We consider current scene image as our input and find professional photograph examples with similar aesthetic features for it. Deep residual network is introduced to gather scene classification information and represent common photograph rules by features, and random forest is adopted to establishing mapping relations between extracted features and examples. Besides, we implement our guidance system on a camera application and evaluate it by user study.

Original language	English
Title of host publication	Pacific Graphics 2018 - 26th Pacific Conference on Computer Graphics and Applications, Short Papers and Posters Proceedings
Publisher	IEEE Computer Society
Pages	33-35
Volume	2018-October
ISBN (Print)	9783038680734
DOIs	https://doi.org/10.2312/pg.20181274
Publication status	Published - 2018
Event	26th Pacific Conference on Computer Graphics and Applications (Pacific Graphics 2018) - City University of Hong Kong, Hong Kong, China Duration: 8 Oct 2018 → 11 Oct 2018 http://sweb.cityu.edu.hk/pg2018/ https://dl.acm.org/doi/proceedings/10.5555/3308497

Publication series

Name	Proceedings - Pacific Conference on Computer Graphics and Applications
Volume	2018-October
ISSN (Print)	1550-4085

Conference

Conference	26th Pacific Conference on Computer Graphics and Applications (Pacific Graphics 2018)
Abbreviated title	PG 2018
Place	China
City	Hong Kong
Period	8/10/18 → 11/10/18
Internet address	http://sweb.cityu.edu.hk/pg2018/ https://dl.acm.org/doi/proceedings/10.5555/3308497

Bibliographical note

Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].

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10.2312/pg.20181274

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Sheng, B., Jin, Y., Li, P., Wang, W., Fu, H., & Wu, E. (2018). Inspiremeposing: Learn pose and composition from portrait examples. In Pacific Graphics 2018 - 26th Pacific Conference on Computer Graphics and Applications, Short Papers and Posters Proceedings (Vol. 2018-October, pp. 33-35). (Proceedings - Pacific Conference on Computer Graphics and Applications; Vol. 2018-October). IEEE Computer Society. https://doi.org/10.2312/pg.20181274

@inproceedings{fb84c9cb0a374ac8b7c516eb1d3f116f,

title = "Inspiremeposing: Learn pose and composition from portrait examples",

abstract = "Since people tend to build relationship with others by personal photography, capturing high quality photographs on mobile device has become a strong demand. We propose a portrait photography guidance system to guide user{\textquoteright}s photographing. We consider current scene image as our input and find professional photograph examples with similar aesthetic features for it. Deep residual network is introduced to gather scene classification information and represent common photograph rules by features, and random forest is adopted to establishing mapping relations between extracted features and examples. Besides, we implement our guidance system on a camera application and evaluate it by user study.",

author = "Bin Sheng and Yuxi Jin and Ping Li and Wenxiao Wang and Hongbo Fu and Enhua Wu",

note = "Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].; 26th Pacific Conference on Computer Graphics and Applications (Pacific Graphics 2018), PG 2018 ; Conference date: 08-10-2018 Through 11-10-2018",

year = "2018",

doi = "10.2312/pg.20181274",

language = "English",

isbn = "9783038680734",

volume = "2018-October",

series = "Proceedings - Pacific Conference on Computer Graphics and Applications",

publisher = "IEEE Computer Society",

pages = "33--35",

booktitle = "Pacific Graphics 2018 - 26th Pacific Conference on Computer Graphics and Applications, Short Papers and Posters Proceedings",

address = "United States",

url = "http://sweb.cityu.edu.hk/pg2018/, https://dl.acm.org/doi/proceedings/10.5555/3308497",

}

Sheng, B, Jin, Y, Li, P, Wang, W, Fu, H & Wu, E 2018, Inspiremeposing: Learn pose and composition from portrait examples. in Pacific Graphics 2018 - 26th Pacific Conference on Computer Graphics and Applications, Short Papers and Posters Proceedings. vol. 2018-October, Proceedings - Pacific Conference on Computer Graphics and Applications, vol. 2018-October, IEEE Computer Society, pp. 33-35, 26th Pacific Conference on Computer Graphics and Applications (Pacific Graphics 2018), Hong Kong, China, 8/10/18. https://doi.org/10.2312/pg.20181274

Inspiremeposing: Learn pose and composition from portrait examples. / Sheng, Bin; Jin, Yuxi; Li, Ping et al.
Pacific Graphics 2018 - 26th Pacific Conference on Computer Graphics and Applications, Short Papers and Posters Proceedings. Vol. 2018-October IEEE Computer Society, 2018. p. 33-35 (Proceedings - Pacific Conference on Computer Graphics and Applications; Vol. 2018-October).

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

TY - GEN

T1 - Inspiremeposing

T2 - 26th Pacific Conference on Computer Graphics and Applications (Pacific Graphics 2018)

AU - Sheng, Bin

AU - Jin, Yuxi

AU - Li, Ping

AU - Wang, Wenxiao

AU - Fu, Hongbo

AU - Wu, Enhua

N1 - Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].

PY - 2018

Y1 - 2018

N2 - Since people tend to build relationship with others by personal photography, capturing high quality photographs on mobile device has become a strong demand. We propose a portrait photography guidance system to guide user’s photographing. We consider current scene image as our input and find professional photograph examples with similar aesthetic features for it. Deep residual network is introduced to gather scene classification information and represent common photograph rules by features, and random forest is adopted to establishing mapping relations between extracted features and examples. Besides, we implement our guidance system on a camera application and evaluate it by user study.

AB - Since people tend to build relationship with others by personal photography, capturing high quality photographs on mobile device has become a strong demand. We propose a portrait photography guidance system to guide user’s photographing. We consider current scene image as our input and find professional photograph examples with similar aesthetic features for it. Deep residual network is introduced to gather scene classification information and represent common photograph rules by features, and random forest is adopted to establishing mapping relations between extracted features and examples. Besides, we implement our guidance system on a camera application and evaluate it by user study.

UR - https://www.scopus.com/pages/publications/85121257433

UR - https://www.scopus.com/pages/publications/85121257433#tab=impact

U2 - 10.2312/pg.20181274

DO - 10.2312/pg.20181274

M3 - RGC 32 - Refereed conference paper (with host publication)

SN - 9783038680734

VL - 2018-October

T3 - Proceedings - Pacific Conference on Computer Graphics and Applications

SP - 33

EP - 35

BT - Pacific Graphics 2018 - 26th Pacific Conference on Computer Graphics and Applications, Short Papers and Posters Proceedings

PB - IEEE Computer Society

Y2 - 8 October 2018 through 11 October 2018

ER -

Sheng B, Jin Y, Li P, Wang W, Fu H, Wu E. Inspiremeposing: Learn pose and composition from portrait examples. In Pacific Graphics 2018 - 26th Pacific Conference on Computer Graphics and Applications, Short Papers and Posters Proceedings. Vol. 2018-October. IEEE Computer Society. 2018. p. 33-35. (Proceedings - Pacific Conference on Computer Graphics and Applications). doi: 10.2312/pg.20181274

Inspiremeposing: Learn pose and composition from portrait examples

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