3D detection without distance information

Dynamic distributing real-time neural radiance fields 

La fiziko resumita de sciencistoj per rigoraj eksperimentaj observoj nur io prezentita per la kodoj desegnitaj hazarde kaj malstreĉite de inĝenieroj. Ĝi ne estas pli bona ol hackers rekte ĉerpi la fontkodon aŭ eĉ provizore mistrakti la spacon kaj poste restarigi ĝin al ĝia originala stato.

Kvankam la reala mondo, en kiu ni vivas, estas nur virtuala realaĵo arbitre konstruita de dizajnistoj, ni ankoraŭ volas bone ludi ĉi tiun ludon, do ni ankoraŭ devas koni ĝiajn arbitre skribitajn fizikajn regulojn. Ĉar nia animo estas malliberigita en la korpo, ni sentas ĝin por bone konservi ĝin. 

Ĉu projekcii altajn dimensiojn al malaltaj dimensioj kaj sintezi altajn dimensiojn de malaltaj dimensioj povas esti funkciigitaj per la sama integra cirkvito?

2D ➡️ 3D ➡️ #D

Anstataŭ sinkronigi 3D objektojn kun la ostoj kaj artikoj de la mezlinio de la rando akirita de la kolordiferenco kaj distancdiferenco de la 2D bildo, la pli bona nova maniero estas rekte skani la 3D staton de la reala mondo en la virtualan spacon por kuri la fizika simulado de kolizio kaj moviĝo.

Mi forigis la 2D desegnan modulon kaj rekte uzas la 3D bildigan modulon por prezenti la 2D objektojn, ĉu mi ankaŭ forigi la 3D modulon kaj rekte uzi la plurdimensian modulon por pritrakti ĉion? 

Metaverse @ Cloud

Cloud: the union of storages, computing and communication resources of the whole world. 

Metaverse: the union of virtual realities (synchronizing or no synchronizing with realities) of the whole world.

The general purpose Cyber Physical System needs:

1 kind of thread to read the inputs from each local sensor to update the Distributing Virtual Reality 

1 kind of thread to recognize the 3D images in the Distributing Virtual Reality to be 3D objects 

1 kind of thread to offer the local user interaction with the Distributing Virtual Reality 

1 kind of thread to read the registered senses in the Distributing Virtual Reality to update each local actuator in the real world

立体环场空间状态扫描采主动式射频回波测距在军用上会暴露行踪、在民用上亦易造成干扰；有一种演算法可以从多角度被动式摄得的平面影像合成立体模型可是运算量极为庞大。道路上车辆颇多，有车联网共享，多角度影像是随时大量在取得，若各车备多些运算资源就可以分担中心的运算。车多时倾向多车组成的 near cloud 而疏解与中心的通讯负担，车少时附近运算资源不足而远端通讯带宽反就充足所以倾向 far cloud，如此即需要底层分布式操作系统自动调节运算分布方为完整的 Cloud。

Virtual Reality 和 Reality 是不是同一回事？

在于 Spatial Mapping 的精准度与解析度，只要夠接近，基本上在 VR 里 run 的就是在 reality 实际 run 的。如外在世界不到脑里形成不失真的 VR，大脑又何从思考做出判断以传令予肢体应对 reality ？对 reality 有准确的认识，在脑里 VR 演练过多回，到 reality 实行时方能一次做对。在 VR 里失误不会有损失，在 reality 失误就是实质的损失。

Augmented Reality

VR = R ➡ VR + VR objects = AR 

The Augmented Reality eye device: angle @ angel

The augmented reality system does not only let us see what can not be seen in the reality on our glasses but also can let us do not see what should be seen in the reality, so it is necessary to switch between the reality and the augmented reality quickly at any time.

Distributed Augmented Reality Operating System

虽平面 App 可摆在 AR 里，然请考虑 #HoloLens 主要用途乃于非封闭情境，是实境的扩增，是增强应对现实世界的能力的，不能像传统 App 一様与现实脱节。所以，平面 Apps 全部扔掉，全部改以如同为 F-35 飞行员做战术头盔一般的导向，要做到可以在行车间使用，即使灵魂出窍行空间跳跃至战略视野也能同时以战略操作顾及战术视野的操作。简而言之，DAROS是可以于世界任一角落与世界任一处互动同时顾及世界各处，唯一的限制是存取权限。

一个让我头抬起来手空出来的头免低手免持新SEN品

现在对着 bar code 付款，我也产生 bar code 让人现场付款给我，这是目前暂时的、过渡性的指向式支付方式，因目前行动装置的声波或磁波 I/O 仍无具阵列孔径合成聚焦之方向性故仅能使用摄像与显像进行可判方向的光影通讯，唯 bar code 必由卖方而非买方提供因提供者可能被任一方向读取而读取者可自主限读特定方向。若以非由己端决定（GPS + g-sensor / 陀螺仪 + 电子罗盘）而由多方共同决定的方位的网通定位定向技术来决定对何支付（因由单方决定可能故意提供错误方位以诈欺），就不用 bar code 了。那是一个什么样的世界？透过眼机，看着何者即对何者付款，每个实体世界中的人或物都被计价与记载拥者于云端：＂请看着我支付，我就是你的。＂无论线上或线下交易都是透过眼机，眼机外面用外显除可显像表达外其内幕亦可不被外人所窥视，这点在线下现场交易输入密码时格外重要。线下和线上的差别仅是在完整对应实体世界的虚拟仿真实境中位置的不同，除了从原地空间跳跃到远处去或者 zoom in 把远处拉近，其余没什么不同。

无论临机或远端操作物联网家电（其实就是15年前的资讯家电、信息家电）都是透过眼机。信息家电无需复杂的固定操作面板而由触控面板取代，又物联网家电需同时满足临机与远端操作，与其临机与远端各一操作界面机不如就让操作界面机跟随人而不跟随家电如此就仅需一机。

The Distributed Augmented Reality Operating System does not need the remote I/O application

Why does the Distributed Augmented Reality Operating System not need the remote I/O application as the traditional flat GUI operating system?

It accesses the remote I/O in the shared virtual reality directly because everything in the real world is synchronized with the shared virtual reality.

Distributed Augmented Reality Operating System without editors

Distributed = no fixed server

Everyone is client and server.

Without editors is harder to implement.

Start from the space object in the sense graph to travel out the senses (presented by the objects in the augmented reality too) to compose the sentence to have the conversation with the space object. By this way to define or modify the object without editing. What needs the brain storm is the structure of the sense graph. So this is very different from the ordinary augmented reality operating system. Not easy.

How the Cloud virtual reality is synchronized by the real world

The viewers watch the virtual reality from the Cloud directly but do not change it, they change the actors in the real world and then the sensors in the actors update the virtual reality in the Cloud. In the pure simulation mode, the actors with sensors are replaced by virtual ones in the virtual reality in the Cloud. 

It is not a game. It is the simulation by the playing from people. Everything occurring in the real world is scanned into the virtual reality; everything happening in the virtual reality could change the real world too but not must be immediately. It could simulate until making sure everything is ok and there is no any problem then let the drones update the real world in according to the new right virtual reality.

The infinite space recursive structure

A structural object is composed of the structural objects the same as itself, and the structural objects compose to be a larger structural object the same as themselves. It is the infinite space recursive structure.

Say hello to Project Tango!

The DNA code

繼可以在虛擬世界中搜尋實體世界的 ARDOM 後 ，可以依據 DNA code 在虛擬空間中模擬 gene expression 長出數位模型來搜尋，但其實現今 DNA code 已不能作為身份証，現今人類已發展出以感染方式進行原體基改的科技，個體基因隨時可能在不知不覺中被竄改。

The completely bionic artificial neural network

The neural signal scanner is harder to implement than the neural network scanner. The scanner is one, and the other one is the container. No matter how the RD progress of the scanner is, the container is easier to implement. We can use the current virtual reality to record the future scanned 3D image and then simulate the real work of the neural system with slower performance. However, if we want it to run faster, we must make the scanned neural network to be the hardware. In addition to that, the way to have virtual reality in the completely bionic artificial neural network is different from the current processor system, and it will run completely the same as the neural system in our bodies. 

The question is: even one day the scanning technology reaches the resolution of the neural ion stream, how to generalize the formula for simulating out the next state from a series of the scanned states and how to be sure it is working the same as the original brain? 

Record the entire brain map at as much spatiotemporal resolution as possible and for as long as possible. This is the most popular way to commemorate life in contemporary times, just store it in the cloud first. For a large number of continuous brain maps, perform a regression analysis to find out formulas or train the neural network to generate the next time point of the brain map, and then compare it with the original brain maps. This will go through a lengthy iterative process until the simulated brain is fairly consistent with the original brain map record. With the development of science and technology in the times, more people of later generations have more detailed records of spatiotemporal resolution, and simulation technology is also constantly improving. But this is a kind of clone, and the original will be still gone.