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--- projects:g4:start [2014/04/30 20:18] – cse93016
+++ projects:g4:start [2014/04/30 21:48] (current) – cse93016
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 {{:projects:g4:orientation.png?250 }} {{ :projects:g4:depth2.png? }}
+===== POST PROCESSING =====
+**POINT => LINE => AREA** \\
+From the capture of one point from a camera image, a line of points can be obtained from a continuous video. Building up these lines will eventually enable the platform to map an entire area.\\
+\\
+**LINE MAPPING**\\
+{{ :projects:g4:line.png?500 }}
+\\
+**MULTIPLE LINES**
+{{ :projects:g4:liness.png?500 }}
+===== IMAGE PROCESSING TECHNIQUES =====
+The following flowchart shows the image processing route taken in order to obtain the final results. Image processing is used to process camera and video imagery in order to locate laser dots and subsequently, find range information.
-=====  Images ( Setup/Schematics/Results) =====
+{{ :projects:g4:software.png }}
-Description: Graphical User Interface created in MATLAB\\
-{{:projects:g4:matlabgui.jpg?600|}}\\
+===== SOME EXAMPLES OF IMAGE PROCESSING =====
+**Detection of the Laser Dots Location:**\\
+{{ :projects:g4:dots.png?400 }}\\
+Zoomed View of the Laser Dots\\
+{{ :projects:g4:dots2.png?400 }}
 \\
+**Edges/ Points of Interests Location:**
+{{ :projects:g4:poa.png?400 }}
 \\
-Description: Ground vehicle where mapping platform will be housed.\\
-{{:projects:g4:ugv.jpg?600}}\\
+**Planar Distance Measurements:**
+{{ :projects:g4:planar.png?400 }}
 \\
+**Face Recognition Safety Feature:**
+{{ :projects:g4:face.png?400 }}
+====== RESULTS ======
+  * Image Processing Algorithm used to process video/camera imagery
+  * Many different techniques used for point positioning of camera objects (described in the previous section)
+  * **Final Result:** Gradual build-up of points to obtain 3D point cloud
+===== POINT CLOUD =====
+The following 3D point cloud of a specific target area is visualized in terms of depth, using colour gradients, identifying objects that are nearer and further from the point of reference of the instrument.\\
 \\
-Description: T platform used for range finding.\\
+{{ :projects:g4:pcc.png?650 }}
-{{:projects:g4:tplatform2.jpg?600|}}\\
+====== FUTURE PROSPECTS ======
+The demand for high accuracy 3D model has rapidly increased in many fields such as engineering, architecture, surveying, deformation monitoring, transportation, automobile industry etc. Generating a 3D point cloud model within the desired accuracy level is of high demand in the industry and LAMP has been able to achieve this so far after only one year of research and development.
+Point clouds can be directly rendered and inspected. They can also be transformed or converted to polygon mesh, triangle mesh, surface models or CAD models. These collectively can be described under the following umbrella terms:
+  * 3D Modeling
+  * 3D Scene Reconstruction
+  * Surface Reconstruction
+Starting from the generated cloud, LAMP therefore offers the ability to **Measure, Map** and **Model** a given target object or area.
+**An example of different types of model visualization:**
 \\
+{{ :projects:g4:future1.png?720 }}
+**An example of 3D modelling from point cloud:**
 \\
-Description: T platform used for range finding.\\
-{{:projects:g4:tplatform.jpg?600}}\\
+{{ :projects:g4:future2.png?650 }}
-\\
+====== NOVELTY AND FUTURE INNOVATION ======
+The following points summarize the novelty of a product as LAMP:
 \\
+  * Uniquely designed 3D mapping system uses two lasers, one camera to produce 3D maps of  arbitrary indoor environment.
+  * Separate Laser Range System. Uniquely designed by the team (T-Platform).
+  * Functions well with different types of camera quality.
+  * Customizable and can work with different visual or ranging sensors as well.
+  * Effective and affordable robotic platform.
+  * Sophisticated visual techniques.
+  * Produces comparable accuracy within its high effective range.
+This product also has the potential to bring innovative changes in many different Geomatics fields. The possible future innovation is summarized below:
+  * Survey Industries - capture 3D positional data in areas of no GPS coverage.
+  * Construction Purposes- Mapping neighbourhood location and buildings that needs to be   constructed.
+  * Transportation industry – Modeling smart transportation.
+  * Automobile industry – Mapping assembly line and modeling prototype.
+  * Defense and Public health safety.