Technology Deep Dive

Top 4 – Point Cloud Cameras questions

A Point Cloud is a collection of 3D data points defined by a given coordinate system. These points are identified by their position in space and color characteristics. Get all the answers to frequently asked questions about the Point Cloud.

Point Cloud Cameras

A Point Cloud is a collection of data points which is defined by a given coordinate systems. Each point has 3D(x,y and z) data which represents real world objects information of every part of the object being measured. The set of points will define a three-dimensional model of an object which is represented by X, Y and Z coordinates. These points are identified by its position in space and its color characteristics. The following are the frequently asked questions by our camera customers.

Question 1: How Point Clouds are produced?

Stereo camera generates a 2D depth map, with which we reproject each pixel to 3D space and assign the color of the same pixel from the RGB frame using Point Cloud libraries.

Question 2: Where Point clouds are used?

Point clouds are used in the following fields:

  • For 3D modeling – medical imaging, architecture, 3D printing and 3D gaming
  • Various virtual reality applications
  • In quality evaluation and assurance
  • To create 3D CAD models for manufactured parts
  • For metrology and quality inspection
  • For multitude of visualization, animation, rendering and mass customization applications
  • For making digital elevation model of terrain

Question 3: What are the advantages of point cloud?

The advantages of Point Cloud are listed below:

  • The 3D models created by this application are highly accurate
  • The objects described by Point Clouds can be small, but they give a very realistic presentation
  • Using Point Cloud, multi-sampling and data compression are achieved
  • The architects use Point Cloud data to create as-built drawings instead of taking hand measurements and manually drawing the entire project, hence it is time saving

Tara from e-con Systems™  can be used to generate 3D Point Cloud of a given scene. Tara comes with a software bundle that has a SDK and point cloud application to demonstrate the same. The generated Point Cloud will define a space by recording the points which cover the surfaces within that space.

Tara is a UVC compliant 3D Stereo camera based on MT9V024 stereo sensor from ON Semiconductor. Tara can be used for application such as Machine Vision, Depth Sensing, Drones, Mobile Robotics to detect Obstacles, 3D Object Reconstruction Application, Point Cloud and so on.

4. How to obtain Point Cloud from Stereo Cameras?

Using the disparity map computed from the stereo pair images, a 3D Point Cloud can be rendered. Numerous algorithms are used to: filter outliers from noisy data, loop 3D Point Clouds together, segment the relevant parts of scene, and compute descriptors to recognize objects in the scene based on their geometric appearance, and create surfaces from Point Clouds.

Point Cloud

Tara supports WVGA ((2*752) x480) at 60 fps over USB 3.0 in uncompressed format. This 3D Stereo camera provides two synchronized sensor frame data interleaved side by side to the host machine over USB 3.0 interface. Tara also comes bundled with an SDK to generate disparity images and point cloud maps on x86. We also provide the SDK for NVIDIA Jetson TX2 (CUDA) on request.

Please write to for further details and to get immediate support.

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