在增强现实中寻宝 [英] Treasure hunt in Augmented Reality

问题描述

我正在寻找支持以下内容的增强现实浏览器/工具包/ api：

I'm looking for an augmented reality browser/toolkit/api that supports the following:

• 添加固定的3d模型，例如宝箱。


• 可以对这个宝箱进行图像识别，以便iPhone知道你何时看到它。


• 指定海拔高度例如，它可以放置在公寓楼的地面或二楼。所以它必须支持将迁移到可以发布的独立应用程序。应用程序商店。


• 能够使用自己的按钮，huds，文本和其他UIViews自定义相机覆盖。


• 支持iPhone和Android 。

• Adding fixed 3d models such as a treasure-chest.
• Possible image recognition of this treasure-chest so the iPhone knows when you're looking at it.
• Specify altitude on a 3d model so it can be positioned on the ground or the second floor in an apartment building for example.
• It must have support for "migrating" it to a standalone app that can be published on the app store.
• The ability to customize the camera overlay with own buttons, huds, text and other UIViews.
• Support for both iPhone and Android.

我曾尝试过Wikitude，它不支持iPhone中的3D模型。
我尝试过Junaio，它不支持使用浏览器创建一个独立的应用程序。
我尝试了Layar Player SDK，并询问他们社区的问题我是否可以使用自己的按钮等自定义界面。
我在github上尝试过artoolkit。

I have tried Wikitude which doesn't have support for 3d models in iPhone. I have tried Junaio which doesn't support to create a standalone app using their browser. I have tried Layar Player SDK, and asked the question on their community if I can customize the interface with own buttons etc. I have tried the artoolkit on github.

我尝试的所有图书馆都没有支持我的所有要求。

None of the libraries I've tried have support for all my demands.

我在这里寻找太多了吗？
使用Layar，Wikitude和Junaio有什么我错过的吗？

Am I looking for too much here? Is there something I've missed using Layar, Wikitude and Junaio?

推荐答案

在3d模型上指定高度，以便
可以放置在地面或公寓楼的
二楼，例如
。

Specify altitude on a 3d model so it can be positioned on the ground or the second floor in a apartment building for example.

你能打破这个吗？您是否希望手机在二楼，大楼内的特定位置识别它？一般来说，高度是非常棘手的，室内定位非常近似 - 在没有室内GPS中继器或其他一些可能需要大量额外工作（蓝牙信标，WiFi三角测量等）的室内定位机制的情况下，这可能是不可行的 - 在一般而言，而不仅仅是给定一个特定的AR库。

Can you break this down? Do you want the phone to recognize it's on the second floor, at a particular location within the building? In general altitude is surprisingly tricky, and indoor positioning is very approximate - in the absence of indoor GPS repeaters or some other indoor positioning mechanisms which would probably require a lot of additional effort (bluetooth beacons, WiFi triangulation etc) this might be infeasible - in general, and not just given a particular AR library.

我认为Junaio库涵盖了其他基础 - 一个（准备好的）对象的CV识别，独立的应用程序包装，可自定义的用户界面以及iPhone和Android支持。

I think the Junaio libraries cover the other bases - CV recognition of a (prepared) object, stand-alone application packaging, customizable UI, and iPhone and Android support.

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