In most cases, the recommended speed is "Medium", which takes ~2.8 seconds to complete when running at 90 fps and scales in speed with frame rate. The self-calibration algorithm is currently designed to correct for either "intrinsic" or "extrinsic" errors, but not both at the same time....
These indoor scenes are split into 249 ones for training and 215 ones for testing. The resolution of the RGB images in sequences is 640××480, and they are also down-sampled by half during experiments. Because of the different variable frame rates between RGB camera and depth camera, it ...
Additional complexity is introduced as the contributions from volumetric data have to be partitioned according to the geometric objects in the scene. The A-buffer, an enhanced framebuffer with additional per-pixel information, has previously been introduced to deal with the complexity caused by ...
On occasions the device was not closed properly and due to firmware issues needs to reset. If set to true, the device will reset prior to usage. For example:initial_reset:=true <stream_name>_frame_id,<stream_name>_optical_frame_id,aligned_depth_to_<stream_name>_frame_id: Specify the ...
Because the shorter time you give the analog to digital converter the less accurate result you will get and the lowest bits will drown in noise. Obvious way to improve this would be to convert more pixels at a time but that increases complexity of the whole chip, you need more space, ...
2. The apparatus of claim 1, wherein encoding the video frame comprises: extracting the color pixels from the video frames; extracting the indication of an object depth relative to a background depth from the depth frames; segmenting the object from the background using the indication of the ...
Fueled by the ongoing growth of the gaming market and its insatiable demand for better 3D graphics, NVIDIA® has evolved the GPU into the world’s leading…
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While much is known about the computational complexity of determining the tree-depth of a graph [10], [13], from a structural standpoint we wish to understand what “causes” a given graph to have a particular tree-depth. In particular, since td(G) is defined as a minimum, what obstruct...
present a new general framework for a variety of computer vision labeling tasks, called HashMatch. Our approach is designed to be both fully parallel, i.e. each pixel is independently processed, and low-compute, with a model complexity an order of magnitude less than existing CNN and CRF-...