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Found 7 papers, 3 papers with code
RGBD Object Tracking: An In-depth Review
Particularly, we are the first to provide depth quality evaluation and analysis of tracking results in depth-friendly scenarios in RGBD tracking.
Depth-only Object Tracking
There are two potential reasons for the heuristics: 1) the lack of large RGBD tracking datasets to train deep RGBD trackers and 2) the long-term evaluation protocol of VOT RGBD that benefits from heuristics such as depth-based occlusion detection.
DepthTrack : Unveiling the Power of RGBD Tracking
RGBD (RGB plus depth) object tracking is gaining momentum as RGBD sensors have become popular in many application fields such as robotics. However, the best RGBD trackers are extensions of the state-of-the-art deep RGB trackers.
Learning Anthropometry from Rendered Humans
To circumvent the data bottleneck, we introduce a new 3D scan dataset of 2, 675 female and 1, 474 male scans.
DepthTrack: Unveiling the Power of RGBD Tracking
This can be explained by the fact that there are no sufficiently large RGBD datasets to 1) train "deep depth trackers" and to 2) challenge RGB trackers with sequences for which the depth cue is essential.
Anthropometric clothing measurements from 3D body scans
In the second stage, a pre-defined body model is fitted to the captured point cloud.
Flash Lightens Gray Pixels
In the real world, a scene is usually cast by multiple illuminants and herein we address the problem of spatial illumination estimation.
