… , body, and object tracking, and computer vision. The search was … were used to delimit a
forehead and nose region; then, fast … to extract a point cloud to analyze the 3D scene. Then, they …

… (please refer to Table I for a quick reference to symbols). The … The longitudinal development
of infants’ prehension has been … of perceptions of objects in the scene that consist of salient …

… contact on the object and the human and provide an analysis of … [23] use RGB-D and 3D
scene constraints to capture 20 … We use a fast method [29, 46] to detect intersections, cluster …

… a fast approach based on the two-dimensional problem formulation in the object space …
We believe that one-shot greedy policies are not the optimal way to use these observations. …

… from the forearm processed by neural network models. We analyze individual and fused …
YoloV4 is a fast operating speed object detector optimized for parallel computations in …

… The selected regions pass through a Fast R-CNN which … to the fact that it is a ’singleshot’
object detection but also to this two … possibility to have auto comprehension of the environment. …

… and fast, color-based segmentation fails whenever background objects have similar skin
color (eg, wooden objects) … than Faster R-CNN and single-shot detector (SSD) [85], [86], [88]. …

… accuracy in grasping and object classification (≥97%) at a fast frame analysis frequency (2.07 …
associated with an object in the scene, then the object is taken into account, and the other …

… presence of several objects in the scene in front of the … The multimodal analysis consists of
fusing gaze, visual data … -type classification marks the end of the prehension. In this case, the …

… of 3D Gaussians that make it faster to optimize and infer than … Gaussians and object Gaussians
in the grasp scene, we sim… Patterns of static prehension in normal hands. The American …