Image inpainting methods have shown significant improvements by using deep neural
networks recently. However, many of these techniques often create distorted structures or …

High-resolution depth maps can be inferred from lowresolution depth measurements and an
additional highresolution intensity image of the same scene. To that end, we introduce a …

Depth map sensed by low-cost active sensor is often limited in resolution, whereas depth
information achieved from structure from motion or sparse depth scanning techniques may …

This paper presents a method for increasing spatial resolution of a depth map using its
corresponding high-resolution (HR) color image as a guide. Most of the previous methods …

Depth maps contain 3D geometrical information of a scene which can be useful in many
applications. In this work we address the task of inpainting a depth map afflicted by regions …

This paper presents a novel flexible architecture for 3DTV based on multiple uncalibrated
cameras. The proposed signal representation improves the interactivity of dense point …

Image inpainting is the process of restoring missing pixels in digital images in a plausible
way. A study on image inpainting technique has acquired a significant consideration in …

Low rank matrix approximation (LRMA) has been widely studied due to its capability of
approximating original image from the degraded image. According to the characteristics of …

Building 3D scene models has been a longstanding goal of computer vision. The great
progress in depth sensors brings us one step closer to achieving this in a single shot …

Low cost RGB-D sensors such as the Microsoft Kinect have enabled the use of depth data
along with color images. In this work, we propose a multi-modal approach to address the …