In this review, we discuss state-of-the-art developments in 3D models for small and rigid
structures. This includes the pros and cons of cutting-edge range cameras used as active 3D …

In recent years, the removal of motion blur in photographs has seen impressive progress in
the hands of deep learning-based methods, trained to map directly from blurry to sharp …

In this work, we investigate the relation between the edge profiles present in a motion
blurred image and the underlying camera motion responsible for causing the motion blur …

Motion blur due to camera shake is a common occurrence. During image capture, the
apparent motion of a scene point in the image plane varies according to both camera motion …

Augmented Reality means interacting with the real world circumstances and virtual objects
at the same time which is augmented by system generating inputs. That is, it allows the …

We present a scheme for recovering the orientation of a planar scene from a single
translation ally-motion blurred image. By leveraging the homography relationship among …

In this work, we investigate the relation between the edge profiles present in a motion
blurred image and the underlying camera motion responsible for causing the motion blur …

Visual Odometry has been a popular research topic for the last 40 years. Odometry alone
has shown robustness across different sensor modalities including LiDAR and vision. In the …

Motion detection and segmentation are used in many applications of computer vision. The
goal of this segmentation is to extract moving object from its background. This segmentation …

Existing works on motion deblurring either ignore the effects of depth-dependent blur or
work with the assumption of a multi-layered scene wherein each layer is modeled in the form …