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Although the D435 does not have built-in support for pose estimation like the T265 Tracking Camera does, a couple of RealSense users have found workarounds for the D435 for use in applications such as picking items from a stock bin with a robot arm.
One of these users' approaches for getting pose with a D435 was an OpenCV SolvePnP algorithm.
https://github.com/IntelRealSense/librealsense/issues/3569#issuecomment-475896784
Another user offered a different approach involving ROS inference.
https://github.com/NVlabs/Deep_Object_Pose/issues/10
There is also an interesting related discussion about doing hand-eye calibration of a robot arm with D435.
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Thank you for this.It is beneficial. Does it have any built-in support for face detection? I am using my own DL algorithm for face detection, which is very much computational expensive.
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A Dlib face landmark detection example program was added in the new 2.30.0 version of the RealSense SDK.
https://github.com/IntelRealSense/librealsense/pull/4966
There are other face detection methods using OpenCV but they tend to be processing expensive too. A way to get a boost through hardware acceleration is to plug an Intel Neural Compute Stick 2 into an available USB port alongside your D435.
https://store.intelrealsense.com/buy-intel-neural-compute-stick-2.html

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