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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