A survey on rotation optimization in structure from motion

We consider the problem of robust rotation optimization in Structure from Motion applications. A number of different approaches have been recently proposed, with solutions that are at times incompatible, and at times complementary. The goal of this paper is to survey and compare these ideas in a unified manner, and to benchmark their robustness against the presence of outliers. In all, we have tested more than forty variants of a these methods (including novel ones), and we find the best performing combination.NSFDGE-0966142 (IGERT), NSF-IIS-1317788, NSF-IIP-1439681 (I/UCRC), NSF-IIS-1426840, ARL MAST-CTA W911NF-08-2-0004, ARL RCTA W911NF-10-2-0016, ONR N000141310778

Multi-Image Semantic Matching by Mining Consistent Features

This work proposes a multi-image matching method to estimate semantic correspondences across multiple images. In contrast to the previous methods that optimize all pairwise correspondences, the proposed method identifies and matches only a sparse set of reliable features in the image collection. In this way, the proposed method is able to prune nonrepeatable features and also highly scalable to handle thousands of images. We additionally propose a low-rank constraint to ensure the geometric consistency of feature correspondences over the whole image collection. Besides the competitive performance on multi-graph matching and semantic flow benchmarks, we also demonstrate the applicability of the proposed method for reconstructing object-class models and discovering object-class landmarks from images without using any annotation.Comment: CVPR 201

A Study on the Use of Listening Strategies and Listening Barriers of Chinese Training Institution Learners

This study analyzes the challenges faced by 90 English language learners enrolled in a Chinese educational institution. It compares high-level and low-level listeners and investigates strategies for students to improve their listening skills. Data was gathered through a questionnaire and an interview that prompted recollection. The initial method assesses students’ attention abilities, while the latter is self-reflective. In the listening phase, participants utilized sensory recall strategies and oral expressiveness to stimulate internal cognitive processes. The researcher also interviewed an instructor to gain insight into Chinese students’ listening difficulties and strategies from an educational standpoint. Hybrid methods enhanced research reliability. Quantitative data was analyzed using SPSS. Transcription, decoding, and qualitative analysis were conducted. Distinct strategies are employed by high- and low-level Chinese listeners, as revealed by the study. Listening problems exhibit significant variability. The study found that poor listening skills can hinder language proficiency, including the ability to articulate sounds, modulate pitch, and control tension. The primary objective of this study is to assess the incidence of listening comprehension strategies through a combination of qualitative and quantitative approaches. The study aims to investigate the listening comprehension of L2 learners from the viewpoints of both the learners and the instructor

Teaching Activities for English Writing: Based on a Process Genre

The objective of this research is to improve the writing abilities of students through a concentrated emphasis on discourse patterns, content, coherence, and language suitability. The conceptual framework of the process genre approach informed the design of the course. The framework outlines the developmental stages of learners, beginning with the acquisition and understanding of knowledge, followed by its analysis, and culminating in the application of knowledge in a creative manner. Furthermore, it provides precise directives for the implementation of said principles. An academic curriculum that is based on genre should include a comprehensive understanding of discourse genres and their intricate characteristics. Proficiency in language and expertise in the subject matter are necessary for teachers to effectively utilize genre analysis in the field of education. The results indicate that educators should underscore to pupils that the attainment of English language proficiency entails the cultivation of communicative proficiency in diverse settings, alongside the acquisition of reading and writing proficiencies

3D Shape Estimation from 2D Landmarks: A Convex Relaxation Approach

We investigate the problem of estimating the 3D shape of an object, given a set of 2D landmarks in a single image. To alleviate the reconstruction ambiguity, a widely-used approach is to confine the unknown 3D shape within a shape space built upon existing shapes. While this approach has proven to be successful in various applications, a challenging issue remains, i.e., the joint estimation of shape parameters and camera-pose parameters requires to solve a nonconvex optimization problem. The existing methods often adopt an alternating minimization scheme to locally update the parameters, and consequently the solution is sensitive to initialization. In this paper, we propose a convex formulation to address this problem and develop an efficient algorithm to solve the proposed convex program. We demonstrate the exact recovery property of the proposed method, its merits compared to alternative methods, and the applicability in human pose and car shape estimation.Comment: In Proceedings of CVPR 201