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Found 7 papers, 3 papers with code
Challenging the Universal Representation of Deep Models for 3D Point Cloud Registration
Learning universal representations across different applications domain is an open research problem.
Ranked #1 on
Point Cloud Registration
on FPv1
Generalizable Human Pose Triangulation
We propose a stochastic framework for human pose triangulation and demonstrate a superior generalization across different camera arrangements on two public datasets.
Ranked #32 on
3D Human Pose Estimation
on Human3.6M
Catadioptric Stereo on a Smartphone
We present a 3D printed adapter with planar mirrors for stereo reconstruction using front and back smartphone camera.
Can Human Sex Be Learned Using Only 2D Body Keypoint Estimations?
To measure the effect of noisy 2D keypoint detections on the performance, we run separate experiments on 3DPeople ground truth and noisy keypoint data.
Smart Time-Multiplexing of Quads Solves the Multicamera Interference Problem
One of the open research problems is the possibility of a multicamera interference problem when two or more ToF cameras are operating simultaneously.
Towards Keypoint Guided Self-Supervised Depth Estimation
This paper proposes to use keypoints as a self-supervision clue for learning depth map estimation from a collection of input images.
On the Comparison of Classic and Deep Keypoint Detector and Descriptor Methods
Additionally, we analyze the performance of two recent and perspective deep detector-descriptor models, LF-Net and SuperPoint.
