We show how to synthesize stereo images by adjusting camera separation to produce customized stereopsis and by changing the viewpoint to accommodate a head-tracked 3D display. We propose an improved method for stereo image synthesis from a pair of wide-baseline stereo images and corresponding disparity maps. To give proper depth in hole regions caused by disocclusion, we introduce a hole fillin...

This paper shows how stereo and Time-of-Flight (ToF) images can be combined to estimate dense depth maps in order to automate plant phenotyping. We focus on some challenging plant images captured in a glasshouse environment, and show that even the state-of-the-art stereo methods produce unsatisfactory results. By developing a geometric approach which transforms depth information in a ToF image ...

A stereo-based dense disparity estimation algorithm is proposed to build high quality dense disparity map of lunar surface under special illumination, weak texture and occlusion condition. To avoidance the serious shadow effect effectively, intrinsic image of stereo images are preprocessed. A color similarity probability based belief propagation algorithm (BP) is proposed to solve the depth dis...

We present a novel approach to surface reconstruction from multiple images. The central idea is to explore the integration of both 3D stereo data and 2D calibrated images. This is motivated by the fact that only robust and accurate feature points that survived the geometry scrutiny of multiple images are reconstructed in space. The density insufficiency and the inevitable holes in the stereo da...

Digital terrain models (DTMs) were extracted from high-resolution stereo images (SPOT-5, EROS-A, IKONOS-II and QuickBird) using a three-dimensional universal physical model developed at the Canada Centre for Remote Sensing, Natural Resources Canada. DEMs were generated using an area-based multi-scale image matching method and then compared to 0.2-m accurate lidar elevation data. Elevation linea...

We present a pose estimation method from an initial unreliable guess using calibrated stereo images. The approach does not rely on a priori known salient features on the surface. The stereo images are brought in congruence without computing a disparity map like in standard stereo algorithms. Instead, the pose parameters of the object are varied to match the stereo images on the known surface sh...

To date, orbital and ground image data have been mostly separately processed for topographic mapping in Mars landed missions. We are in the process of developing a method for the integration of orbital and ground image networks to enhance precision mapping. In this research, HiRISE stereo images were used as orbital data while ground data include MER-B Pancam stereo images and their pointing in...