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Data-Driven Material Recognition and Photorealistic Image Editing Using Deep Convolutional Neural Networks
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| 자료유형 | E-Book |
|---|---|
| 개인저자 | Upchurch, Paul Robert. |
| 단체저자명 | Cornell University. Computer Science. |
| 서명/저자사항 | Data-Driven Material Recognition and Photorealistic Image Editing Using Deep Convolutional Neural Networks. |
| 발행사항 | [S.l.] : Cornell University., 2018 |
| 발행사항 | Ann Arbor : ProQuest Dissertations & Theses, 2018 |
| 형태사항 | 118 p. |
| 소장본 주기 | School code: 0058. |
| ISBN | 9780438343146 |
| 일반주기 |
Source: Dissertation Abstracts International, Volume: 80-01(E), Section: B.
Adviser: Kavita Bala. |
| 요약 | Fully automatic processing of images is a key challenge for the 21st century. Our processing needs lie beyond just organizing photos by date and location. We need image analysis tools that can reason about photos like a human. For example, we ne |
| 요약 | The goal of scene understanding is to infer a structured model of reality from a photo. This cannot be done perfectly because there can be many realities which produce the same image. Humans excel at using prior experience to guess the reality w |
| 요약 | In this thesis we explore the three steps of deep learning through the lens of recognizing materials in a real-world scene and making structured changes to an image: we describe a practical method for efficiently gathering crowdsourced labels |
| 일반주제명 | Computer science. |
| 언어 | 영어 |
| 기본자료 저록 | Dissertation Abstracts International80-01B(E). Dissertation Abstract International |
| 대출바로가기 | http://www.riss.kr/pdu/ddodLink.do?id=T14999911 |
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| No. | 등록번호 | 청구기호 | 소장처 | 도서상태 | 반납예정일 | 예약 | 서비스 | 매체정보 |
|---|---|---|---|---|---|---|---|---|
| 1 | WE00024646 | DP 004 | 가야대학교/전자책서버(컴퓨터서버)/ | 대출불가(별치) |
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