Since the launch of the Microsoft Kinect, scores of RGBD datasets have been released.
These have propelled advances in areas from reconstruction to gesture recognition. In this …

Developing robot perception systems for recognizing objects in the real world requires
computer vision algorithms to be carefully scrutinized with respect to the expected operating …

Deep learning algorithms often require high-quality datasets, but public datasets can be less
effective for specific applications like visual robotic arm grasping. Generating private …

Object proposal that detects candidate bounding boxes of objects in images is an effective
way of accelerating object recognition in the robot/computer vision area. We propose an …

Generating instance candidate regions of arbitrary objects in an image is called object
proposal, which is widely used in combination with object detection [1]. Images taken in a …

Object proposal とは, 極力少ない候補領域で画像中の個々の物体領域を推定することを狙って
おり, 物体検出のフローに組み込まれて広く用いられている. 既存手法の中でも …

抄録 本研究では, 深度画像を入力として, 画像中の物体を極力少ない候補領域で網羅する Object
proposal 手法を提案する. 既存研究では, 個々の物体を正確に捉えた候補領域は物体境界を跨が …