… camera. This paper proposes a robust rear-view camera based moving object detection …
It is possible to detect edges in an image but it in this case the detection of the angles is the …

… object detection problem as a 2D object detection problem and conducts perception just in
image … [19] which performs and evaluates the object detection task in the image-view space. …

… object detection and discussed the optimization process that can lead to improved object
detection … The proposed method uses image registration for detection moving object in motion …

… depth map combining a camera image and sparse LiDAR … dense depth map combining a
camera image and sparse LiDAR … image processing algorithms in the downstream multi-modal …

… This results in the network learning an internal representation of the camera intrinsics, by
linking position and scale in the image to real world depth. We show that, for such …

… to image processing for object detection and … object in a given image and classifying the
object into one of the predefined classes. In this study, the detection of ship features in camera …

… The relationship between a point in the scene and its corresponding point in the camera
and the projector image coordinates can be written as follows for left and right images …

… For the multi-view camera images, we adopt ResNet50 with FPN as the image backbone
to … , a novel LiDAR-camera fusion framework for 3D object detection, which facilitates multi-…

… A fast and effective moving object detection method for a moving camera is proposed in
this paper. The global motion is estimated through tracking the grid-based key points using …

… Then, we adopt an image matting algorithm to cut out the background part in the images and
separate the masks of mud spots. Finally, the separated masks are pasted on the images of …