Trend and use point augment reality 2013-01-31Etsuji Kameyama
This document is a trend and a summary of Augmented Reality(AR) of the use point. It is understood only to see the photograph and the picture though all are Japanese.
Trend and use point augment reality 2013-01-31Etsuji Kameyama
This document is a trend and a summary of Augmented Reality(AR) of the use point. It is understood only to see the photograph and the picture though all are Japanese.
Use of Augmented Reality in shopping-mall (商店・商店街における拡張現実の活用)Etsuji Kameyama
To introduce the case of augmented reality technology to enhance customer contact stores and in shopping malls.
店舗や、ショッピングモールなどで顧客接点を強化する拡張現実技術の事例などを紹介。
Current State and case introduction of AR - ARの現状と最新事例 (summer of 2012)Etsuji Kameyama
It is presentation that brings the latest case etc. together for the seminar of AR held on July 17, 2012. It would be greatly appreciated if becoming the hint to a new business of everybody.
2012年7月17日に開催したARのセミナー用に最新事例等をまとめたプレゼンテーションです。皆様の新しいビジネスへのヒントになれば幸いです。
Augmented Reality Technology Expands from Entertainment Use to Industrial UseEtsuji Kameyama
ince 2009, AR (Augmented Reality) has been used for entertainment and sales support, games, etc. rather than industrial use.
The technology and methods are spreading to the business sector, especially the industry.
(This presentation material was used in the web seminar of PTC Japan)
Trend of Augmented Reality (for Event tool Japan) 2013Etsuji Kameyama
It is a revised version of the presentation document explains when on 31 May 2013, was on stage was held in Osaka, Japan in the "Events Tools Japan".
2013年5月31日に、日本の大阪で開催された「イベントツールジャパン」で登壇した際に説明したプレゼンテーション資料の改訂版です。
Although Augmented Reality technology began to be available worldwide from around 2009, its use area seem to have remained in use promotion, entertainment and retail.
Of course, the use has also started in the field of operational support, communication, and simulation, full-fledged efforts would be in the future.
One of the area's ecology think that since I know the AR, and you want to apply.
First described in this document, that the AR can accelerate the ecology. First of all, I want to publish this article as Introduction and hypothesis.
Current state of augmented reality and introduction of case with the worldEtsuji Kameyama
It is presentation material that brings the current state of Augmented Reality and the introduction of the case with the world together. I think that even only the photograph and figure are good enough though this material is Japanese.
Augmented Reality の現状と世界の事例紹介をまとめたプレゼンテーション資料です。この資料は日本語ですが、写真や図だけでも十分ためになると思います。
【DLゼミ】XFeat: Accelerated Features for Lightweight Image Matchingharmonylab
公開URL:https://arxiv.org/pdf/2404.19174
出典:Guilherme Potje, Felipe Cadar, Andre Araujo, Renato Martins, Erickson R. ascimento: XFeat: Accelerated Features for Lightweight Image Matching, Proceedings of the 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2023)
概要:リソース効率に優れた特徴点マッチングのための軽量なアーキテクチャ「XFeat(Accelerated Features)」を提案します。手法は、局所的な特徴点の検出、抽出、マッチングのための畳み込みニューラルネットワークの基本的な設計を再検討します。特に、リソースが限られたデバイス向けに迅速かつ堅牢なアルゴリズムが必要とされるため、解像度を可能な限り高く保ちながら、ネットワークのチャネル数を制限します。さらに、スパース下でのマッチングを選択できる設計となっており、ナビゲーションやARなどのアプリケーションに適しています。XFeatは、高速かつ同等以上の精度を実現し、一般的なラップトップのCPU上でリアルタイムで動作します。
セル生産方式におけるロボットの活用には様々な問題があるが,その一つとして 3 体以上の物体の組み立てが挙げられる.一般に,複数物体を同時に組み立てる際は,対象の部品をそれぞれロボットアームまたは治具でそれぞれ独立に保持することで組み立てを遂行すると考えられる.ただし,この方法ではロボットアームや治具を部品数と同じ数だけ必要とし,部品数が多いほどコスト面や設置スペースの関係で無駄が多くなる.この課題に対して音𣷓らは組み立て対象物に働く接触力等の解析により,治具等で固定されていない対象物が組み立て作業中に運動しにくい状態となる条件を求めた.すなわち,環境中の非把持対象物のロバスト性を考慮して,組み立て作業条件を検討している.本研究ではこの方策に基づいて,複数物体の組み立て作業を単腕マニピュレータで実行することを目的とする.このとき,対象物のロバスト性を考慮することで,仮組状態の複数物体を同時に扱う手法を提案する.作業対象としてパイプジョイントの組み立てを挙げ,簡易な道具を用いることで単腕マニピュレータで複数物体を同時に把持できることを示す.さらに,作業成功率の向上のために RGB-D カメラを用いた物体の位置検出に基づくロボット制御及び動作計画を実装する.
This paper discusses assembly operations using a single manipulator and a parallel gripper to simultaneously
grasp multiple objects and hold the group of temporarily assembled objects. Multiple robots and jigs generally operate
assembly tasks by constraining the target objects mechanically or geometrically to prevent them from moving. It is
necessary to analyze the physical interaction between the objects for such constraints to achieve the tasks with a single
gripper. In this paper, we focus on assembling pipe joints as an example and discuss constraining the motion of the
objects. Our demonstration shows that a simple tool can facilitate holding multiple objects with a single gripper.
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20. Vuforia - Frame Markers
Frame markers are images that look a little like QR codes but give you the freedom to put your own image inside. They are ideal to
use for game pieces or in other experiences with multiple targets that are seen simultaneously.
33. Vuforia - Occlusion Management
Vuforia detects and tracks targets, even when they’re partially hidden behind everyday barriers, like your hand. Special occlusion
handling allows apps to display graphics as if they appear inside physical objects.
34. Vuforia - Virtual Buttons
Imagine a magazine page that acts like a touch screen. With Vuforia, that is possible. Create virtual buttons that your app can see
and respond to on top of image targets in the real world.
https://www.youtube.com/watch?v=XQNhziVOTLI
35. Vuforia - Text
Supports English word recognition from a standard database of ~100,000 words or a custom vocabulary defined by the developer.