Resequencing analyses of major crop plants, including soybean, rice, and maize, using a low-depth sequencing coverage have been reported recently.
This paper investigates the possibility to achieve an automatic, dynamic update of the virtual cell by using a low cost depth sensor (i.e., a commercial Microsoft Kinect) to detect the presence of completely unknown objects, moving inside the real cell.
In the offline stage, we get the depth map of the real scene using a low cost RGB-D camera.
Using a low grade detergent.
Beat slowly or using a low speed.
Using a low F-stop setting will make anything not perfectly in focus in your viewfinder look even blurrier, while using a high f-stop will increase the depth of the subject that appears in focus.
Intuitively, this will result in bandwidth inefficiency if the receiver uses a low bit-depth display device, especially in the case where a small GOP size is adopted and the data in the I-frames dominate the bitstream.
The canal space of each root was enlarged with a #4 Largo drill (Dentsply Maillefer, York, PA, USA), providing access for a #2 post, using a low-speed handpiece, to a depth of 9 mm.
This paper focusses on the development of a real-time 3D vision algorithm for estimating optic flow, aircraft self-motion and depth map, using a low-resolution onboard camera and a low-cost Inertial Measurement Unit (IMU).
Anaesthetic depth was further characterized by monitoring electrocorticogram (ECoG) from the parietal cortex using a low-impedance (15 kΩ) electrode (Friedberg et al., 1999).
