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Full-Dimensional Imaging and Camera Intelligence

Full-Dimensional Imaging and Camera Intelligence

TOC

Boxin Shi

生駒 : 奈良先端科学技術大学院大学, 2016.10

Lecture Archive

Volume No.

Total: 1
No. Printing year Location Call Number Material ID Circulation class Status Waiting

1

  • LA-I-R[MPDASH][Mobile]

M013965

Contents Intro.

An ordinary camera captures the real 3D scene as a projected 2D image with three channels. During this projection process, some scene information gets lost such as depth and surface normal, and some information gets compressed such as resolution and dynamic range. This presentation answers the questions what information has been lost and how to get them back by introducing the full-dimensional imaging framework. The lost and compressed information is restored as additional channels of a generalized image, e.g., a high-quality depth map with as high resolution as the 2D image, with state of the art computer vision algorithms, computational photography techniques, and novel camera prototyping. The concept of camera intelligence is then introduced to inspire the future research that complements artificial intelligence with camera design for solving visual computing problems that can never be solved using a conventional camera.

Details

Publication year

2016

Form

電子化映像資料(1時間15分20秒)

Series title

情報科学研究科・ゼミナール講演 ; 平成28年度

Note

講演者所属: 産業技術総合研究所

講演日: 平成28年10月31日

講演場所: 情報科学研究科大講義室L1

Country of publication

Japan

Title language

English (eng)

Language of texts

English (eng)

Author information

Shi, Boxin