Titlebook: Computer Vision -- ACCV 2014; 12th Asian Conferenc Daniel Cremers,Ian Reid,Ming-Hsuan Yang Conference proceedings 2015 Springer Internation

會議

有罪

BRIDE

Beyond Procedural Facade Parsing: Bidirectional Alignment via Linear Programmingthe procedural space of shapes derived from a grammar. Instead we formulate parsing as a linear binary program which we solve using Dual Decomposition. The algorithm produces plausible approximations of globally optimal segmentations without grammar sampling. It yields state-of-the-art performance on standard datasets.

A保存的

0302-9743 12th Asian Conference on Computer Vision, ACCV 2014, held in Singapore, Singapore, in November 2014. The total of 227 contributions presented in these volumes was carefully reviewed and selected from 814 submissions. The papers are organized in topical sections on recognition; 3D vision; low-level v

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Thread-Safe: Towards Recognizing Human Actions Across Shot Boundariespropose composing a video into threads of related shots, removing some of the discontinuities due to shot boundaries; and third, we show the benefits of utilizing video threads in recognizing human actions. The experiments demonstrate that human action retrieval accuracy can be improved using threads.

Enervate

0302-9743 ision and features; segmentation; face and gesture, tracking; stereo, physics, video and events; and poster sessions 1-3.978-3-319-16816-6978-3-319-16817-3Series ISSN 0302-9743 Series E-ISSN 1611-3349

褻瀆

Cutaneous Arteries of the Lower Extremityalso adaptive to the structure of the input image. The proposed accelerated weighted median/mode filters are effective and efficient for a variety of applications, which have comparable performance against the current state-of-the-art counterparts and cost only a fraction of their execution time.

綠州

Valery A. Tsvetkov,Mikhail N. Dudintraction technique for point context and contour segments as well as (ii) a new fused similarity measure for object matching and recognition, and (iii) the impressive robustness of the method in an object retrieval scenario as well as in a real application for environmental microorganism recognition.

LOPE

Pre-incident Planning and Analysis,o SF. We validate our method on standard images and compare with state-of-the-art methods. We obtain improved quality (. 0.2–0.7?dB PSNR better than ANR) and excellent time complexity, rendering A+ the most efficient dictionary-based super-resolution method to date.

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