By David Fleet, Tomas Pajdla, Bernt Schiele, Tinne Tuytelaars
The seven-volume set comprising LNCS volumes 8689-8695 constitutes the refereed court cases of the thirteenth eu convention on desktop imaginative and prescient, ECCV 2014, held in Zurich, Switzerland, in September 2014. The 363 revised papers offered have been rigorously reviewed and chosen from 1444 submissions. The papers are equipped in topical sections on monitoring and job reputation; acceptance; studying and inference; constitution from movement and have matching; computational images and low-level imaginative and prescient; imaginative and prescient; segmentation and saliency; context and 3D scenes; movement and 3D scene research; and poster sessions.
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Additional resources for Computer Vision – ECCV 2014: 13th European Conference, Zurich, Switzerland, September 6-12, 2014, Proceedings, Part VI
On the other hand, Ecompatibility is designed to discourage switching labels to a misaligned image. We show the result of setting Ecompatibility = 0 in Fig. 4(b). Severe misalignment is visible at the boundaries between image patches in the MRF composite. By incorporating both terms (Fig. 4(c)), the optimizer creates a better composite with fewer visible artifacts. Photo Uncrop User Input 27 Our photo uncrop result Photoshop CS6 PhotoMerge with manual color blending [Nomura et al. 2007] A subset of Internet photos from the same scene Our partial implementation of [Zhang et al.
Uncropping is performed on images selected from the SfM model to show the capability of our system, though it would be straightforward to apply our system to an arbitrary new photograph by simply adding it to the relevant image set and performing incremental SfM. Publicly available multi-view stereo software is used to reconstruct per-view depthmaps . Then, we warp each image by reprojecting its depth map and colors to the viewpoint of the image to be uncropped. More details on these preprocessing steps are found in Section 5.
What is novel is the actual formulation of the unary and binary terms. We first describe their principles, where detailed formulation will be discussed in the following sections. 1 Principles Eunary : It is nearly impossible to reconstruct perfect geometry for a complicated scene like ours, and a warped image may not be exactly aligned with the reference image. Therefore, the unary term incorporates the confidence of estimated depth information. Appearance mismatch is another source of artifacts.
Categories: Computer Vision Pattern Recognition