In this paper, a new technique to generate high resolution depth image is proposed. First, a low resolution depth map is obtained by the time-of-flight depth camera. Then a high resolution depth map for a given view is generated by depth warping followed by depth value refinement taking into account the color information at the given view. The edge in the final depth map is then processed by bi...

In this paper we present a novel method for obstacle avoidance using the stereo camera. The conventional obstacle avoidance methods and their limitations are discussed. A new algorithm is developed for the real-time obstacle avoidance which responds faster to unexpected obstacles. In this approach the depth map is divided into optimized number of regions and the minimum depth at each section is...

This paper introduces a new approach for hand gesture recognition based on depth Map captured by an RGB-D Kinect camera. Although this camera provides two types of information ”Depth Map” and ”RGB Image”, only the depth data information is used to analyze and recognize the hand gestures. Given the complexity of this task, a new method based on edge detection is proposed to eliminate the noise a...

In this paper, we present a new approach for dense stereo matching which is mainly oriented towards the recovery of depth map of an observed scene. The extraction of depth information from the disparity map is well understood, while the correspondence problem is still subject to errors. In our approach, we propose optimizing correlation based technique by detecting and rejecting mismatched poin...

We consider image classification with estimated depth. This problem falls into the domain of transfer learning, since we are using a model trained on a set of depth images to generate depth maps (additional features) for use in another classification problem using another disjoint set of images. It’s challenging as no direct depth information is provided. Though depth estimation has been well s...

We introduce the N-buffer as a tool for multiresolution depth map representation. This neighborhood buffer encodes the value and position of local depth extrema at different scales in an image cube, in contrast to the image pyramid. The resulting increase in storage space is largely compensated by the following benefits: objects of any size can be culled in constant time against an occlusion ma...

In this paper, we propose a new depth map upsampling method to increase the depth image resolution using edge information. Although the joint bilateral upsampling (JBU) method expands the resolution of the depth map using two weighting functions, the complexity of JBU is relatively high. In the proposed upsampling method, we reduce the complexity of depth map upsmapling operation using a color ...

Depth map estimation is a prerequisite for useful plenoptic rendering algorithms, such as all-in-focus rendering and depth-based matting. We provide a simple GPU-based algorithm that estimates the depth of each pixel in the rendered image as well as the uncertainty of that estimate. We perform several rendering experiments using depth information. Finally, explore what factors harm the accuracy...

This paper describes a spatio-temporal super-resolution method using depth maps for static scenes. In the proposed method, the depth maps are used as the parameters to determine the corresponding pixels in multiple input images by assuming that intrinsic and extrinsic camera parameters are known. Because the proposed method can determine the corresponding pixels in multiple images by a one-dime...

A method for depth estimation in a 2D image using wavelet analysis has been implemented with less computation that converts two-dimensional images of limited depth of field (DOF) into depth estimation for 3D image construction. Each image is first transformed to YUV domain and the Y component of the image is further transformed to the wavelet domain for major object detection. According to our ...